id	sid	tid	token	lemma	pos
iassist-979	1	1	1/13	1/13	NUM
iassist-979	1	2	thompson	thompson	NOUN
iassist-979	1	3	,	,	PUNCT
iassist-979	1	4	kristi	kristi	PROPN
iassist-979	1	5	and	and	CCONJ
iassist-979	1	6	sullivan	sullivan	PROPN
iassist-979	1	7	,	,	PUNCT
iassist-979	1	8	carolyn	carolyn	PROPN
iassist-979	1	9	(	(	PUNCT
iassist-979	1	10	2020	2020	NUM
iassist-979	1	11	)	)	PUNCT
iassist-979	1	12	mathematics	mathematic	NOUN
iassist-979	1	13	,	,	PUNCT
iassist-979	1	14	risk	risk	NOUN
iassist-979	1	15	,	,	PUNCT
iassist-979	1	16	and	and	CCONJ
iassist-979	1	17	messy	messy	ADJ
iassist-979	1	18	survey	survey	NOUN
iassist-979	1	19	data	datum	NOUN
iassist-979	1	20	,	,	PUNCT
iassist-979	1	21	iassist	iassist	VERB
iassist-979	1	22	quarterly	quarterly	ADJ
iassist-979	1	23	44(4	44(4	NOUN
iassist-979	1	24	)	)	PUNCT
iassist-979	1	25	,	,	PUNCT
iassist-979	1	26	pp	pp	ADP
iassist-979	1	27	.	.	PUNCT
iassist-979	2	1	1	1	NUM
iassist-979	2	2	-	-	SYM
iassist-979	2	3	13	13	NUM
iassist-979	2	4	.	.	PUNCT
iassist-979	3	1	doi	doi	NOUN
iassist-979	3	2	:	:	PUNCT
iassist-979	3	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	3	4	mathematics	mathematics	PROPN
iassist-979	3	5	,	,	PUNCT
iassist-979	3	6	risk	risk	NOUN
iassist-979	3	7	,	,	PUNCT
iassist-979	3	8	and	and	CCONJ
iassist-979	3	9	messy	messy	ADJ
iassist-979	3	10	survey	survey	NOUN
iassist-979	3	11	data	datum	NOUN
iassist-979	3	12	kristi	kristi	PROPN
iassist-979	3	13	thompson	thompson	PROPN
iassist-979	3	14	and	and	CCONJ
iassist-979	3	15	carolyn	carolyn	PROPN
iassist-979	3	16	sullivan1	sullivan1	PROPN
iassist-979	3	17	abstract	abstract	ADJ
iassist-979	3	18	research	research	NOUN
iassist-979	3	19	funder	funder	NOUN
iassist-979	3	20	mandates	mandate	NOUN
iassist-979	3	21	,	,	PUNCT
iassist-979	3	22	such	such	ADJ
iassist-979	3	23	as	as	ADP
iassist-979	3	24	those	those	PRON
iassist-979	3	25	from	from	ADP
iassist-979	3	26	the	the	DET
iassist-979	3	27	u.s	u.s	PROPN
iassist-979	3	28	.	.	PROPN
iassist-979	3	29	national	national	PROPN
iassist-979	3	30	science	science	PROPN
iassist-979	3	31	foundation	foundation	PROPN
iassist-979	3	32	(	(	PUNCT
iassist-979	3	33	2011	2011	NUM
iassist-979	3	34	)	)	PUNCT
iassist-979	3	35	,	,	PUNCT
iassist-979	3	36	the	the	DET
iassist-979	3	37	canadian	canadian	ADJ
iassist-979	3	38	tri	tri	PROPN
iassist-979	3	39	-	-	NOUN
iassist-979	3	40	agency	agency	NOUN
iassist-979	3	41	(	(	PUNCT
iassist-979	3	42	social	social	ADJ
iassist-979	3	43	sciences	science	NOUN
iassist-979	3	44	and	and	CCONJ
iassist-979	3	45	humanities	humanity	NOUN
iassist-979	3	46	research	research	PROPN
iassist-979	3	47	council	council	PROPN
iassist-979	3	48	,	,	PUNCT
iassist-979	3	49	2018	2018	NUM
iassist-979	3	50	)	)	PUNCT
iassist-979	3	51	,	,	PUNCT
iassist-979	3	52	and	and	CCONJ
iassist-979	3	53	the	the	DET
iassist-979	3	54	uk	uk	PROPN
iassist-979	3	55	economic	economic	ADJ
iassist-979	3	56	and	and	CCONJ
iassist-979	3	57	social	social	ADJ
iassist-979	3	58	research	research	NOUN
iassist-979	3	59	council	council	NOUN
iassist-979	3	60	(	(	PUNCT
iassist-979	3	61	2018	2018	NUM
iassist-979	3	62	)	)	PUNCT
iassist-979	3	63	now	now	ADV
iassist-979	3	64	often	often	ADV
iassist-979	3	65	include	include	VERB
iassist-979	3	66	requirements	requirement	NOUN
iassist-979	3	67	for	for	ADP
iassist-979	3	68	data	data	NOUN
iassist-979	3	69	curation	curation	NOUN
iassist-979	3	70	,	,	PUNCT
iassist-979	3	71	including	include	VERB
iassist-979	3	72	where	where	SCONJ
iassist-979	3	73	possible	possible	ADJ
iassist-979	3	74	data	datum	NOUN
iassist-979	3	75	sharing	sharing	NOUN
iassist-979	3	76	in	in	ADP
iassist-979	3	77	an	an	DET
iassist-979	3	78	approved	approve	VERB
iassist-979	3	79	archive	archive	NOUN
iassist-979	3	80	.	.	PUNCT
iassist-979	4	1	data	datum	NOUN
iassist-979	4	2	curators	curator	NOUN
iassist-979	4	3	need	need	VERB
iassist-979	4	4	to	to	PART
iassist-979	4	5	be	be	AUX
iassist-979	4	6	prepared	prepare	VERB
iassist-979	4	7	for	for	ADP
iassist-979	4	8	the	the	DET
iassist-979	4	9	potential	potential	NOUN
iassist-979	4	10	that	that	SCONJ
iassist-979	4	11	researchers	researcher	NOUN
iassist-979	4	12	who	who	PRON
iassist-979	4	13	have	have	AUX
iassist-979	4	14	not	not	PART
iassist-979	4	15	previously	previously	ADV
iassist-979	4	16	shared	share	VERB
iassist-979	4	17	data	datum	NOUN
iassist-979	4	18	will	will	AUX
iassist-979	4	19	need	need	VERB
iassist-979	4	20	assistance	assistance	NOUN
iassist-979	4	21	with	with	ADP
iassist-979	4	22	cleaning	clean	VERB
iassist-979	4	23	and	and	CCONJ
iassist-979	4	24	depositing	deposit	VERB
iassist-979	4	25	datasets	dataset	NOUN
iassist-979	4	26	so	so	SCONJ
iassist-979	4	27	that	that	SCONJ
iassist-979	4	28	they	they	PRON
iassist-979	4	29	can	can	AUX
iassist-979	4	30	meet	meet	VERB
iassist-979	4	31	these	these	DET
iassist-979	4	32	requirements	requirement	NOUN
iassist-979	4	33	and	and	CCONJ
iassist-979	4	34	maintain	maintain	VERB
iassist-979	4	35	funding	funding	NOUN
iassist-979	4	36	.	.	PUNCT
iassist-979	5	1	data	datum	NOUN
iassist-979	5	2	deidentification	deidentification	NOUN
iassist-979	5	3	or	or	CCONJ
iassist-979	5	4	anonymization	anonymization	NOUN
iassist-979	5	5	is	be	AUX
iassist-979	5	6	a	a	DET
iassist-979	5	7	major	major	ADJ
iassist-979	5	8	ethical	ethical	ADJ
iassist-979	5	9	concern	concern	NOUN
iassist-979	5	10	in	in	ADP
iassist-979	5	11	cases	case	NOUN
iassist-979	5	12	where	where	SCONJ
iassist-979	5	13	survey	survey	NOUN
iassist-979	5	14	data	data	NOUN
iassist-979	5	15	is	be	AUX
iassist-979	5	16	to	to	PART
iassist-979	5	17	be	be	AUX
iassist-979	5	18	shared	share	VERB
iassist-979	5	19	,	,	PUNCT
iassist-979	5	20	and	and	CCONJ
iassist-979	5	21	one	one	NUM
iassist-979	5	22	which	which	PRON
iassist-979	5	23	data	datum	NOUN
iassist-979	5	24	professionals	professional	NOUN
iassist-979	5	25	may	may	AUX
iassist-979	5	26	find	find	VERB
iassist-979	5	27	themselves	themselves	PRON
iassist-979	5	28	ill	ill	ADV
iassist-979	5	29	-	-	PUNCT
iassist-979	5	30	equipped	equipped	ADJ
iassist-979	5	31	to	to	PART
iassist-979	5	32	deal	deal	VERB
iassist-979	5	33	with	with	ADP
iassist-979	5	34	.	.	PUNCT
iassist-979	6	1	this	this	DET
iassist-979	6	2	article	article	NOUN
iassist-979	6	3	is	be	AUX
iassist-979	6	4	intended	intend	VERB
iassist-979	6	5	to	to	PART
iassist-979	6	6	provide	provide	VERB
iassist-979	6	7	an	an	DET
iassist-979	6	8	accessible	accessible	ADJ
iassist-979	6	9	and	and	CCONJ
iassist-979	6	10	practical	practical	ADJ
iassist-979	6	11	introduction	introduction	NOUN
iassist-979	6	12	to	to	ADP
iassist-979	6	13	the	the	DET
iassist-979	6	14	theory	theory	NOUN
iassist-979	6	15	and	and	CCONJ
iassist-979	6	16	concepts	concept	NOUN
iassist-979	6	17	behind	behind	ADP
iassist-979	6	18	data	datum	NOUN
iassist-979	6	19	anonymization	anonymization	NOUN
iassist-979	6	20	and	and	CCONJ
iassist-979	6	21	risk	risk	NOUN
iassist-979	6	22	assessment	assessment	NOUN
iassist-979	6	23	,	,	PUNCT
iassist-979	6	24	will	will	AUX
iassist-979	6	25	describe	describe	VERB
iassist-979	6	26	a	a	DET
iassist-979	6	27	couple	couple	NOUN
iassist-979	6	28	of	of	ADP
iassist-979	6	29	case	case	NOUN
iassist-979	6	30	studies	study	NOUN
iassist-979	6	31	that	that	PRON
iassist-979	6	32	demonstrate	demonstrate	VERB
iassist-979	6	33	how	how	SCONJ
iassist-979	6	34	these	these	DET
iassist-979	6	35	methods	method	NOUN
iassist-979	6	36	were	be	AUX
iassist-979	6	37	carried	carry	VERB
iassist-979	6	38	out	out	ADP
iassist-979	6	39	on	on	ADP
iassist-979	6	40	actual	actual	ADJ
iassist-979	6	41	datasets	dataset	NOUN
iassist-979	6	42	requiring	require	VERB
iassist-979	6	43	anonymization	anonymization	NOUN
iassist-979	6	44	,	,	PUNCT
iassist-979	6	45	and	and	CCONJ
iassist-979	6	46	discuss	discuss	VERB
iassist-979	6	47	some	some	PRON
iassist-979	6	48	of	of	ADP
iassist-979	6	49	the	the	DET
iassist-979	6	50	difficulties	difficulty	NOUN
iassist-979	6	51	encountered	encounter	VERB
iassist-979	6	52	.	.	PUNCT
iassist-979	7	1	much	much	ADJ
iassist-979	7	2	of	of	ADP
iassist-979	7	3	the	the	DET
iassist-979	7	4	literature	literature	NOUN
iassist-979	7	5	dealing	deal	VERB
iassist-979	7	6	with	with	ADP
iassist-979	7	7	statistical	statistical	ADJ
iassist-979	7	8	risk	risk	NOUN
iassist-979	7	9	assessment	assessment	NOUN
iassist-979	7	10	of	of	ADP
iassist-979	7	11	anonymized	anonymize	VERB
iassist-979	7	12	data	datum	NOUN
iassist-979	7	13	is	be	AUX
iassist-979	7	14	abstract	abstract	ADJ
iassist-979	7	15	and	and	CCONJ
iassist-979	7	16	aimed	aim	VERB
iassist-979	7	17	at	at	ADP
iassist-979	7	18	computer	computer	NOUN
iassist-979	7	19	scientists	scientist	NOUN
iassist-979	7	20	and	and	CCONJ
iassist-979	7	21	mathematicians	mathematician	NOUN
iassist-979	7	22	,	,	PUNCT
iassist-979	7	23	while	while	SCONJ
iassist-979	7	24	material	material	NOUN
iassist-979	7	25	aimed	aim	VERB
iassist-979	7	26	at	at	ADP
iassist-979	7	27	practitioners	practitioner	NOUN
iassist-979	7	28	often	often	ADV
iassist-979	7	29	does	do	AUX
iassist-979	7	30	not	not	PART
iassist-979	7	31	consider	consider	VERB
iassist-979	7	32	more	more	ADV
iassist-979	7	33	recent	recent	ADJ
iassist-979	7	34	developments	development	NOUN
iassist-979	7	35	in	in	ADP
iassist-979	7	36	the	the	DET
iassist-979	7	37	theory	theory	NOUN
iassist-979	7	38	of	of	ADP
iassist-979	7	39	data	data	PROPN
iassist-979	7	40	anonymization	anonymization	PROPN
iassist-979	7	41	.	.	PUNCT
iassist-979	8	1	we	we	PRON
iassist-979	8	2	hope	hope	VERB
iassist-979	8	3	that	that	SCONJ
iassist-979	8	4	this	this	DET
iassist-979	8	5	article	article	NOUN
iassist-979	8	6	will	will	AUX
iassist-979	8	7	help	help	VERB
iassist-979	8	8	bridge	bridge	VERB
iassist-979	8	9	this	this	DET
iassist-979	8	10	gap	gap	NOUN
iassist-979	8	11	.	.	PUNCT
iassist-979	9	1	keywords	keyword	VERB
iassist-979	9	2	anonymization	anonymization	NOUN
iassist-979	9	3	,	,	PUNCT
iassist-979	9	4	deidentification	deidentification	NOUN
iassist-979	9	5	,	,	PUNCT
iassist-979	9	6	sensitive	sensitive	ADJ
iassist-979	9	7	data	datum	NOUN
iassist-979	9	8	,	,	PUNCT
iassist-979	9	9	survey	survey	NOUN
iassist-979	9	10	data	datum	NOUN
iassist-979	9	11	introduction	introduction	NOUN
iassist-979	9	12	as	as	ADP
iassist-979	9	13	a	a	DET
iassist-979	9	14	result	result	NOUN
iassist-979	9	15	of	of	ADP
iassist-979	9	16	an	an	DET
iassist-979	9	17	open	open	ADJ
iassist-979	9	18	government	government	NOUN
iassist-979	9	19	mandate	mandate	NOUN
iassist-979	9	20	in	in	ADP
iassist-979	9	21	2014	2014	NUM
iassist-979	9	22	(	(	PUNCT
iassist-979	9	23	government	government	NOUN
iassist-979	9	24	of	of	ADP
iassist-979	9	25	canada	canada	PROPN
iassist-979	9	26	,	,	PUNCT
iassist-979	9	27	2014	2014	NUM
iassist-979	9	28	)	)	PUNCT
iassist-979	9	29	,	,	PUNCT
iassist-979	9	30	many	many	ADJ
iassist-979	9	31	datasets	dataset	NOUN
iassist-979	9	32	and	and	CCONJ
iassist-979	9	33	surveys	survey	NOUN
iassist-979	9	34	were	be	AUX
iassist-979	9	35	released	release	VERB
iassist-979	9	36	on	on	ADP
iassist-979	9	37	canada	canada	PROPN
iassist-979	9	38	’s	’s	PART
iassist-979	9	39	government	government	NOUN
iassist-979	9	40	open	open	ADJ
iassist-979	9	41	data	datum	NOUN
iassist-979	9	42	portal	portal	NOUN
iassist-979	9	43	,	,	PUNCT
iassist-979	9	44	giving	give	VERB
iassist-979	9	45	researchers	researcher	NOUN
iassist-979	9	46	access	access	NOUN
iassist-979	9	47	to	to	ADP
iassist-979	9	48	a	a	DET
iassist-979	9	49	trove	trove	NOUN
iassist-979	9	50	of	of	ADP
iassist-979	9	51	previously	previously	ADV
iassist-979	9	52	unavailable	unavailable	ADJ
iassist-979	9	53	survey	survey	NOUN
iassist-979	9	54	data	datum	NOUN
iassist-979	9	55	.	.	PUNCT
iassist-979	10	1	among	among	ADP
iassist-979	10	2	these	these	DET
iassist-979	10	3	datasets	dataset	NOUN
iassist-979	10	4	were	be	AUX
iassist-979	10	5	a	a	DET
iassist-979	10	6	set	set	NOUN
iassist-979	10	7	of	of	ADP
iassist-979	10	8	surveys	survey	NOUN
iassist-979	10	9	that	that	PRON
iassist-979	10	10	had	have	AUX
iassist-979	10	11	been	be	AUX
iassist-979	10	12	conducted	conduct	VERB
iassist-979	10	13	by	by	ADP
iassist-979	10	14	firms	firm	NOUN
iassist-979	10	15	on	on	ADP
iassist-979	10	16	behalf	behalf	NOUN
iassist-979	10	17	of	of	ADP
iassist-979	10	18	health	health	PROPN
iassist-979	10	19	canada	canada	PROPN
iassist-979	10	20	.	.	PUNCT
iassist-979	11	1	these	these	DET
iassist-979	11	2	surveys	survey	NOUN
iassist-979	11	3	came	come	VERB
iassist-979	11	4	to	to	ADP
iassist-979	11	5	the	the	DET
iassist-979	11	6	attention	attention	NOUN
iassist-979	11	7	of	of	ADP
iassist-979	11	8	a	a	DET
iassist-979	11	9	group	group	NOUN
iassist-979	11	10	of	of	ADP
iassist-979	11	11	canadian	canadian	ADJ
iassist-979	11	12	data	datum	NOUN
iassist-979	11	13	librarians	librarian	NOUN
iassist-979	11	14	in	in	ADP
iassist-979	11	15	part	part	NOUN
iassist-979	11	16	because	because	SCONJ
iassist-979	11	17	the	the	DET
iassist-979	11	18	files	file	NOUN
iassist-979	11	19	were	be	AUX
iassist-979	11	20	in	in	ADP
iassist-979	11	21	several	several	ADJ
iassist-979	11	22	cases	case	NOUN
iassist-979	11	23	released	release	VERB
iassist-979	11	24	in	in	ADP
iassist-979	11	25	formats	format	NOUN
iassist-979	11	26	that	that	PRON
iassist-979	11	27	were	be	AUX
iassist-979	11	28	difficult	difficult	ADJ
iassist-979	11	29	to	to	PART
iassist-979	11	30	use	use	VERB
iassist-979	11	31	and	and	CCONJ
iassist-979	11	32	without	without	ADP
iassist-979	11	33	adequate	adequate	ADJ
iassist-979	11	34	documentation	documentation	NOUN
iassist-979	11	35	.	.	PUNCT
iassist-979	12	1	in	in	ADP
iassist-979	12	2	other	other	ADJ
iassist-979	12	3	cases	case	NOUN
iassist-979	12	4	,	,	PUNCT
iassist-979	12	5	documents	document	NOUN
iassist-979	12	6	were	be	AUX
iassist-979	12	7	released	release	VERB
iassist-979	12	8	that	that	SCONJ
iassist-979	12	9	discussed	discuss	VERB
iassist-979	12	10	surveys	survey	NOUN
iassist-979	12	11	that	that	PRON
iassist-979	12	12	had	have	AUX
iassist-979	12	13	not	not	PART
iassist-979	12	14	been	be	AUX
iassist-979	12	15	made	make	VERB
iassist-979	12	16	available	available	ADJ
iassist-979	12	17	.	.	PUNCT
iassist-979	13	1	the	the	DET
iassist-979	13	2	efforts	effort	NOUN
iassist-979	13	3	of	of	ADP
iassist-979	13	4	this	this	DET
iassist-979	13	5	group	group	NOUN
iassist-979	13	6	to	to	PART
iassist-979	13	7	track	track	VERB
iassist-979	13	8	down	down	ADP
iassist-979	13	9	documentation	documentation	NOUN
iassist-979	13	10	and	and	CCONJ
iassist-979	13	11	datasets	dataset	NOUN
iassist-979	13	12	and	and	CCONJ
iassist-979	13	13	obtain	obtain	VERB
iassist-979	13	14	or	or	CCONJ
iassist-979	13	15	build	build	VERB
iassist-979	13	16	easier	easy	ADJ
iassist-979	13	17	-	-	PUNCT
iassist-979	13	18	to	to	ADP
iassist-979	13	19	-	-	PUNCT
iassist-979	13	20	use	use	VERB
iassist-979	13	21	survey	survey	NOUN
iassist-979	13	22	files	file	NOUN
iassist-979	13	23	have	have	AUX
iassist-979	13	24	been	be	AUX
iassist-979	13	25	described	describe	VERB
iassist-979	13	26	in	in	ADP
iassist-979	13	27	a	a	DET
iassist-979	13	28	previous	previous	ADJ
iassist-979	13	29	article	article	NOUN
iassist-979	13	30	(	(	PUNCT
iassist-979	13	31	thompson	thompson	PROPN
iassist-979	13	32	,	,	PUNCT
iassist-979	13	33	2018	2018	NUM
iassist-979	13	34	)	)	PUNCT
iassist-979	13	35	.	.	PUNCT
iassist-979	14	1	as	as	ADP
iassist-979	14	2	a	a	DET
iassist-979	14	3	result	result	NOUN
iassist-979	14	4	of	of	ADP
iassist-979	14	5	these	these	DET
iassist-979	14	6	efforts	effort	NOUN
iassist-979	14	7	,	,	PUNCT
iassist-979	14	8	one	one	NUM
iassist-979	14	9	of	of	ADP
iassist-979	14	10	the	the	DET
iassist-979	14	11	co	co	NOUN
iassist-979	14	12	-	-	NOUN
iassist-979	14	13	authors	author	NOUN
iassist-979	14	14	of	of	ADP
iassist-979	14	15	this	this	DET
iassist-979	14	16	article	article	NOUN
iassist-979	14	17	was	be	AUX
iassist-979	14	18	entrusted	entrust	VERB
iassist-979	14	19	with	with	ADP
iassist-979	14	20	a	a	DET
iassist-979	14	21	small	small	ADJ
iassist-979	14	22	collection	collection	NOUN
iassist-979	14	23	of	of	ADP
iassist-979	14	24	health	health	PROPN
iassist-979	14	25	canada	canada	PROPN
iassist-979	14	26	datasets	dataset	NOUN
iassist-979	14	27	,	,	PUNCT
iassist-979	14	28	which	which	PRON
iassist-979	14	29	needed	need	VERB
iassist-979	14	30	additional	additional	ADJ
iassist-979	14	31	work	work	NOUN
iassist-979	14	32	beyond	beyond	ADP
iassist-979	14	33	the	the	DET
iassist-979	14	34	group	group	NOUN
iassist-979	14	35	’s	’s	PART
iassist-979	14	36	now	now	ADV
iassist-979	14	37	standard	standard	ADJ
iassist-979	14	38	practice	practice	NOUN
iassist-979	14	39	of	of	ADP
iassist-979	14	40	documenting	documenting	NOUN
iassist-979	14	41	and	and	CCONJ
iassist-979	14	42	formatting	formatting	NOUN
iassist-979	14	43	.	.	PUNCT
iassist-979	15	1	among	among	ADP
iassist-979	15	2	the	the	DET
iassist-979	15	3	issues	issue	NOUN
iassist-979	15	4	were	be	AUX
iassist-979	15	5	that	that	SCONJ
iassist-979	15	6	the	the	DET
iassist-979	15	7	datasets	dataset	NOUN
iassist-979	15	8	had	have	AUX
iassist-979	15	9	not	not	PART
iassist-979	15	10	been	be	AUX
iassist-979	15	11	fully	fully	ADV
iassist-979	15	12	assessed	assess	VERB
iassist-979	15	13	for	for	ADP
iassist-979	15	14	anonymization	anonymization	NOUN
iassist-979	15	15	,	,	PUNCT
iassist-979	15	16	though	though	SCONJ
iassist-979	15	17	obvious	obvious	ADJ
iassist-979	15	18	identifiers	identifier	NOUN
iassist-979	15	19	like	like	ADP
iassist-979	15	20	name	name	NOUN
iassist-979	15	21	and	and	CCONJ
iassist-979	15	22	address	address	NOUN
iassist-979	15	23	had	have	AUX
iassist-979	15	24	been	be	AUX
iassist-979	15	25	removed	remove	VERB
iassist-979	15	26	.	.	PUNCT
iassist-979	16	1	the	the	DET
iassist-979	16	2	first	first	ADJ
iassist-979	16	3	coauthor	coauthor	NOUN
iassist-979	16	4	,	,	PUNCT
iassist-979	16	5	a	a	DET
iassist-979	16	6	data	data	NOUN
iassist-979	16	7	librarian	librarian	NOUN
iassist-979	16	8	with	with	ADP
iassist-979	16	9	a	a	DET
iassist-979	16	10	computer	computer	NOUN
iassist-979	16	11	science	science	NOUN
iassist-979	16	12	background	background	NOUN
iassist-979	16	13	,	,	PUNCT
iassist-979	16	14	spent	spend	VERB
iassist-979	16	15	some	some	DET
iassist-979	16	16	time	time	NOUN
iassist-979	16	17	familiarizing	familiarize	VERB
iassist-979	16	18	herself	herself	PRON
iassist-979	16	19	with	with	ADP
iassist-979	16	20	the	the	DET
iassist-979	16	21	theory	theory	NOUN
iassist-979	16	22	behind	behind	ADP
iassist-979	16	23	data	datum	NOUN
iassist-979	16	24	anonymization	anonymization	NOUN
iassist-979	16	25	and	and	CCONJ
iassist-979	16	26	statistical	statistical	ADJ
iassist-979	16	27	disclosure	disclosure	NOUN
iassist-979	16	28	risk	risk	NOUN
iassist-979	16	29	assessment	assessment	NOUN
iassist-979	16	30	in	in	ADP
iassist-979	16	31	order	order	NOUN
iassist-979	16	32	to	to	PART
iassist-979	16	33	deal	deal	VERB
iassist-979	16	34	with	with	ADP
iassist-979	16	35	this	this	DET
iassist-979	16	36	unexpected	unexpected	ADJ
iassist-979	16	37	data	datum	NOUN
iassist-979	16	38	issue	issue	NOUN
iassist-979	16	39	.	.	PUNCT
iassist-979	17	1	the	the	DET
iassist-979	17	2	second	second	ADJ
iassist-979	17	3	coauthor	coauthor	NOUN
iassist-979	17	4	,	,	PUNCT
iassist-979	17	5	a	a	DET
iassist-979	17	6	master	master	NOUN
iassist-979	17	7	of	of	ADP
iassist-979	17	8	library	library	PROPN
iassist-979	17	9	science	science	NOUN
iassist-979	17	10	student	student	NOUN
iassist-979	17	11	who	who	PRON
iassist-979	17	12	also	also	ADV
iassist-979	17	13	has	have	VERB
iassist-979	17	14	a	a	DET
iassist-979	17	15	computer	computer	NOUN
iassist-979	17	16	science	science	NOUN
iassist-979	17	17	background	background	NOUN
iassist-979	17	18	,	,	PUNCT
iassist-979	17	19	became	become	VERB
iassist-979	17	20	involved	involve	VERB
iassist-979	17	21	later	later	ADV
iassist-979	17	22	when	when	SCONJ
iassist-979	17	23	work	work	NOUN
iassist-979	17	24	on	on	ADP
iassist-979	17	25	the	the	DET
iassist-979	17	26	data	datum	NOUN
iassist-979	17	27	became	become	VERB
iassist-979	17	28	a	a	DET
iassist-979	17	29	part	part	NOUN
iassist-979	17	30	of	of	ADP
iassist-979	17	31	her	her	PRON
iassist-979	17	32	internship	internship	NOUN
iassist-979	17	33	in	in	ADP
iassist-979	17	34	data	datum	NOUN
iassist-979	17	35	librarianship	librarianship	NOUN
iassist-979	17	36	with	with	ADP
iassist-979	17	37	the	the	DET
iassist-979	17	38	first	first	ADJ
iassist-979	17	39	co	co	NOUN
iassist-979	17	40	-	-	NOUN
iassist-979	17	41	author	author	NOUN
iassist-979	17	42	.	.	PUNCT
iassist-979	18	1	this	this	DET
iassist-979	18	2	paper	paper	NOUN
iassist-979	18	3	will	will	AUX
iassist-979	18	4	provide	provide	VERB
iassist-979	18	5	a	a	DET
iassist-979	18	6	background	background	NOUN
iassist-979	18	7	to	to	ADP
iassist-979	18	8	the	the	DET
iassist-979	18	9	field	field	NOUN
iassist-979	18	10	of	of	ADP
iassist-979	18	11	data	datum	NOUN
iassist-979	18	12	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	18	13	2/13	2/13	NUM
iassist-979	18	14	thompson	thompson	PROPN
iassist-979	18	15	,	,	PUNCT
iassist-979	18	16	kristi	kristi	PROPN
iassist-979	18	17	and	and	CCONJ
iassist-979	18	18	sullivan	sullivan	PROPN
iassist-979	18	19	,	,	PUNCT
iassist-979	18	20	carolyn	carolyn	PROPN
iassist-979	18	21	(	(	PUNCT
iassist-979	18	22	2020	2020	NUM
iassist-979	18	23	)	)	PUNCT
iassist-979	18	24	mathematics	mathematic	NOUN
iassist-979	18	25	,	,	PUNCT
iassist-979	18	26	risk	risk	NOUN
iassist-979	18	27	,	,	PUNCT
iassist-979	18	28	and	and	CCONJ
iassist-979	18	29	messy	messy	ADJ
iassist-979	18	30	survey	survey	NOUN
iassist-979	18	31	data	datum	NOUN
iassist-979	18	32	,	,	PUNCT
iassist-979	18	33	iassist	iassist	VERB
iassist-979	18	34	quarterly	quarterly	ADJ
iassist-979	18	35	44(4	44(4	NOUN
iassist-979	18	36	)	)	PUNCT
iassist-979	18	37	,	,	PUNCT
iassist-979	18	38	pp	pp	ADP
iassist-979	18	39	.	.	PUNCT
iassist-979	19	1	1	1	NUM
iassist-979	19	2	-	-	SYM
iassist-979	19	3	13	13	NUM
iassist-979	19	4	.	.	PUNCT
iassist-979	20	1	doi	doi	NOUN
iassist-979	20	2	:	:	PUNCT
iassist-979	20	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	20	4	anonymization	anonymization	NOUN
iassist-979	20	5	and	and	CCONJ
iassist-979	20	6	explain	explain	VERB
iassist-979	20	7	the	the	DET
iassist-979	20	8	work	work	NOUN
iassist-979	20	9	we	we	PRON
iassist-979	20	10	did	do	VERB
iassist-979	20	11	to	to	PART
iassist-979	20	12	ensure	ensure	VERB
iassist-979	20	13	that	that	SCONJ
iassist-979	20	14	two	two	NUM
iassist-979	20	15	particularly	particularly	ADV
iassist-979	20	16	difficult	difficult	ADJ
iassist-979	20	17	datasets	dataset	NOUN
iassist-979	20	18	had	have	AUX
iassist-979	20	19	been	be	AUX
iassist-979	20	20	anonymized	anonymize	VERB
iassist-979	20	21	.	.	PUNCT
iassist-979	21	1	based	base	VERB
iassist-979	21	2	on	on	ADP
iassist-979	21	3	our	our	PRON
iassist-979	21	4	experiences	experience	NOUN
iassist-979	21	5	,	,	PUNCT
iassist-979	21	6	we	we	PRON
iassist-979	21	7	will	will	AUX
iassist-979	21	8	describe	describe	VERB
iassist-979	21	9	a	a	DET
iassist-979	21	10	set	set	NOUN
iassist-979	21	11	of	of	ADP
iassist-979	21	12	processes	process	NOUN
iassist-979	21	13	for	for	ADP
iassist-979	21	14	reviewing	review	VERB
iassist-979	21	15	messy	messy	ADJ
iassist-979	21	16	survey	survey	NOUN
iassist-979	21	17	data	datum	NOUN
iassist-979	21	18	to	to	PART
iassist-979	21	19	make	make	VERB
iassist-979	21	20	sure	sure	ADJ
iassist-979	21	21	it	it	PRON
iassist-979	21	22	has	have	AUX
iassist-979	21	23	been	be	AUX
iassist-979	21	24	properly	properly	ADV
iassist-979	21	25	anonymized	anonymize	VERB
iassist-979	21	26	.	.	PUNCT
iassist-979	22	1	data	datum	NOUN
iassist-979	22	2	anonymization	anonymization	PROPN
iassist-979	22	3	background	background	NOUN
iassist-979	22	4	the	the	DET
iassist-979	22	5	first	first	ADJ
iassist-979	22	6	step	step	NOUN
iassist-979	22	7	in	in	ADP
iassist-979	22	8	data	datum	NOUN
iassist-979	22	9	anonymization	anonymization	NOUN
iassist-979	22	10	is	be	AUX
iassist-979	22	11	the	the	DET
iassist-979	22	12	removal	removal	NOUN
iassist-979	22	13	of	of	ADP
iassist-979	22	14	all	all	DET
iassist-979	22	15	direct	direct	ADJ
iassist-979	22	16	personal	personal	ADJ
iassist-979	22	17	identifiers	identifier	NOUN
iassist-979	22	18	data	datum	NOUN
iassist-979	22	19	elements	element	NOUN
iassist-979	22	20	that	that	PRON
iassist-979	22	21	can	can	AUX
iassist-979	22	22	be	be	AUX
iassist-979	22	23	directly	directly	ADV
iassist-979	22	24	linked	link	VERB
iassist-979	22	25	to	to	ADP
iassist-979	22	26	a	a	DET
iassist-979	22	27	specific	specific	ADJ
iassist-979	22	28	individual	individual	NOUN
iassist-979	22	29	such	such	ADJ
iassist-979	22	30	as	as	ADP
iassist-979	22	31	names	name	NOUN
iassist-979	22	32	,	,	PUNCT
iassist-979	22	33	telephone	telephone	NOUN
iassist-979	22	34	numbers	number	NOUN
iassist-979	22	35	,	,	PUNCT
iassist-979	22	36	social	social	ADJ
iassist-979	22	37	media	medium	NOUN
iassist-979	22	38	identifiers	identifier	NOUN
iassist-979	22	39	,	,	PUNCT
iassist-979	22	40	and	and	CCONJ
iassist-979	22	41	so	so	ADV
iassist-979	22	42	on	on	ADV
iassist-979	22	43	.	.	PUNCT
iassist-979	23	1	this	this	DET
iassist-979	23	2	step	step	NOUN
iassist-979	23	3	is	be	AUX
iassist-979	23	4	obvious	obvious	ADJ
iassist-979	23	5	and	and	CCONJ
iassist-979	23	6	inexperienced	inexperienced	ADJ
iassist-979	23	7	data	datum	NOUN
iassist-979	23	8	curators	curator	NOUN
iassist-979	23	9	may	may	AUX
iassist-979	23	10	assume	assume	VERB
iassist-979	23	11	it	it	PRON
iassist-979	23	12	is	be	AUX
iassist-979	23	13	sufficient	sufficient	ADJ
iassist-979	23	14	.	.	PUNCT
iassist-979	24	1	however	however	ADV
iassist-979	24	2	,	,	PUNCT
iassist-979	24	3	demographic	demographic	ADJ
iassist-979	24	4	variables	variable	NOUN
iassist-979	24	5	can	can	AUX
iassist-979	24	6	also	also	ADV
iassist-979	24	7	pose	pose	VERB
iassist-979	24	8	risk	risk	NOUN
iassist-979	24	9	.	.	PUNCT
iassist-979	25	1	a	a	DET
iassist-979	25	2	common	common	ADJ
iassist-979	25	3	example	example	NOUN
iassist-979	25	4	might	might	AUX
iassist-979	25	5	be	be	AUX
iassist-979	25	6	occupation	occupation	NOUN
iassist-979	25	7	and	and	CCONJ
iassist-979	25	8	geography	geography	NOUN
iassist-979	25	9	;	;	PUNCT
iassist-979	25	10	if	if	SCONJ
iassist-979	25	11	the	the	DET
iassist-979	25	12	dataset	dataset	NOUN
iassist-979	25	13	includes	include	VERB
iassist-979	25	14	name	name	NOUN
iassist-979	25	15	of	of	ADP
iassist-979	25	16	town	town	NOUN
iassist-979	25	17	and	and	CCONJ
iassist-979	25	18	occupation	occupation	NOUN
iassist-979	25	19	,	,	PUNCT
iassist-979	25	20	then	then	ADV
iassist-979	25	21	the	the	DET
iassist-979	25	22	only	only	ADJ
iassist-979	25	23	doctor	doctor	NOUN
iassist-979	25	24	in	in	ADP
iassist-979	25	25	a	a	DET
iassist-979	25	26	small	small	ADJ
iassist-979	25	27	town	town	NOUN
iassist-979	25	28	is	be	AUX
iassist-979	25	29	at	at	ADP
iassist-979	25	30	risk	risk	NOUN
iassist-979	25	31	of	of	ADP
iassist-979	25	32	being	be	AUX
iassist-979	25	33	identified	identify	VERB
iassist-979	25	34	.	.	PUNCT
iassist-979	26	1	add	add	VERB
iassist-979	26	2	additional	additional	ADJ
iassist-979	26	3	variables	variable	NOUN
iassist-979	26	4	such	such	ADJ
iassist-979	26	5	as	as	ADP
iassist-979	26	6	ethnicity	ethnicity	NOUN
iassist-979	26	7	,	,	PUNCT
iassist-979	26	8	country	country	NOUN
iassist-979	26	9	of	of	ADP
iassist-979	26	10	origin	origin	NOUN
iassist-979	26	11	for	for	ADP
iassist-979	26	12	immigrants	immigrant	NOUN
iassist-979	26	13	,	,	PUNCT
iassist-979	26	14	gender	gender	NOUN
iassist-979	26	15	,	,	PUNCT
iassist-979	26	16	and	and	CCONJ
iassist-979	26	17	family	family	NOUN
iassist-979	26	18	structure	structure	NOUN
iassist-979	26	19	,	,	PUNCT
iassist-979	26	20	and	and	CCONJ
iassist-979	26	21	even	even	ADV
iassist-979	26	22	doctors	doctor	NOUN
iassist-979	26	23	in	in	ADP
iassist-979	26	24	larger	large	ADJ
iassist-979	26	25	cities	city	NOUN
iassist-979	26	26	might	might	AUX
iassist-979	26	27	be	be	AUX
iassist-979	26	28	at	at	ADP
iassist-979	26	29	risk	risk	NOUN
iassist-979	26	30	of	of	ADP
iassist-979	26	31	reidentification	reidentification	NOUN
iassist-979	26	32	.	.	PUNCT
iassist-979	27	1	these	these	DET
iassist-979	27	2	variables	variable	NOUN
iassist-979	27	3	persistent	persistent	ADJ
iassist-979	27	4	demographic	demographic	ADJ
iassist-979	27	5	characteristics	characteristic	NOUN
iassist-979	27	6	of	of	ADP
iassist-979	27	7	people	people	NOUN
iassist-979	27	8	that	that	PRON
iassist-979	27	9	might	might	AUX
iassist-979	27	10	be	be	AUX
iassist-979	27	11	used	use	VERB
iassist-979	27	12	to	to	PART
iassist-979	27	13	discover	discover	VERB
iassist-979	27	14	their	their	PRON
iassist-979	27	15	identities	identity	NOUN
iassist-979	27	16	are	be	AUX
iassist-979	27	17	known	know	VERB
iassist-979	27	18	as	as	ADP
iassist-979	27	19	quasi	quasi	NOUN
iassist-979	27	20	-	-	NOUN
iassist-979	27	21	identifiers	identifier	NOUN
iassist-979	27	22	.	.	PUNCT
iassist-979	28	1	the	the	DET
iassist-979	28	2	problem	problem	NOUN
iassist-979	28	3	of	of	ADP
iassist-979	28	4	reidentification	reidentification	NOUN
iassist-979	28	5	with	with	ADP
iassist-979	28	6	quasi	quasi	NOUN
iassist-979	28	7	-	-	NOUN
iassist-979	28	8	identifiers	identifier	NOUN
iassist-979	28	9	becomes	become	VERB
iassist-979	28	10	more	more	ADV
iassist-979	28	11	acute	acute	ADJ
iassist-979	28	12	when	when	SCONJ
iassist-979	28	13	you	you	PRON
iassist-979	28	14	consider	consider	VERB
iassist-979	28	15	not	not	PART
iassist-979	28	16	just	just	ADV
iassist-979	28	17	the	the	DET
iassist-979	28	18	unlikely	unlikely	ADJ
iassist-979	28	19	possibility	possibility	NOUN
iassist-979	28	20	of	of	ADP
iassist-979	28	21	the	the	DET
iassist-979	28	22	hypothetical	hypothetical	ADJ
iassist-979	28	23	doctors	doctor	NOUN
iassist-979	28	24	’	’	PART
iassist-979	28	25	neighbours	neighbour	NOUN
iassist-979	28	26	reading	read	VERB
iassist-979	28	27	through	through	ADP
iassist-979	28	28	the	the	DET
iassist-979	28	29	dataset	dataset	NOUN
iassist-979	28	30	and	and	CCONJ
iassist-979	28	31	recognizing	recognize	VERB
iassist-979	28	32	them	they	PRON
iassist-979	28	33	,	,	PUNCT
iassist-979	28	34	but	but	CCONJ
iassist-979	28	35	the	the	DET
iassist-979	28	36	unfortunately	unfortunately	ADV
iassist-979	28	37	plausible	plausible	ADJ
iassist-979	28	38	possibility	possibility	NOUN
iassist-979	28	39	that	that	SCONJ
iassist-979	28	40	an	an	DET
iassist-979	28	41	intruder	intruder	NOUN
iassist-979	28	42	might	might	AUX
iassist-979	28	43	use	use	VERB
iassist-979	28	44	external	external	ADJ
iassist-979	28	45	information	information	NOUN
iassist-979	28	46	from	from	ADP
iassist-979	28	47	directories	directory	NOUN
iassist-979	28	48	and	and	CCONJ
iassist-979	28	49	other	other	ADJ
iassist-979	28	50	public	public	ADJ
iassist-979	28	51	sources	source	NOUN
iassist-979	28	52	to	to	PART
iassist-979	28	53	attempt	attempt	VERB
iassist-979	28	54	to	to	PART
iassist-979	28	55	reidentify	reidentify	VERB
iassist-979	28	56	people	people	NOUN
iassist-979	28	57	maliciously	maliciously	ADV
iassist-979	28	58	,	,	PUNCT
iassist-979	28	59	for	for	ADP
iassist-979	28	60	fun	fun	NOUN
iassist-979	28	61	,	,	PUNCT
iassist-979	28	62	or	or	CCONJ
iassist-979	28	63	for	for	ADP
iassist-979	28	64	profit	profit	NOUN
iassist-979	28	65	.	.	PUNCT
iassist-979	29	1	a	a	DET
iassist-979	29	2	variable	variable	NOUN
iassist-979	29	3	should	should	AUX
iassist-979	29	4	only	only	ADV
iassist-979	29	5	be	be	AUX
iassist-979	29	6	considered	consider	VERB
iassist-979	29	7	a	a	DET
iassist-979	29	8	quasi	quasi	NOUN
iassist-979	29	9	-	-	NOUN
iassist-979	29	10	identifier	identifier	ADJ
iassist-979	29	11	if	if	SCONJ
iassist-979	29	12	an	an	DET
iassist-979	29	13	intruder	intruder	NOUN
iassist-979	29	14	could	could	AUX
iassist-979	29	15	plausibly	plausibly	ADV
iassist-979	29	16	match	match	VERB
iassist-979	29	17	that	that	DET
iassist-979	29	18	variable	variable	NOUN
iassist-979	29	19	to	to	ADP
iassist-979	29	20	information	information	NOUN
iassist-979	29	21	from	from	ADP
iassist-979	29	22	another	another	DET
iassist-979	29	23	source	source	NOUN
iassist-979	29	24	.	.	PUNCT
iassist-979	30	1	some	some	DET
iassist-979	30	2	variables	variable	NOUN
iassist-979	30	3	may	may	AUX
iassist-979	30	4	be	be	AUX
iassist-979	30	5	used	use	VERB
iassist-979	30	6	to	to	PART
iassist-979	30	7	derive	derive	VERB
iassist-979	30	8	other	other	ADJ
iassist-979	30	9	quasiidentifiers	quasiidentifier	NOUN
iassist-979	30	10	;	;	PUNCT
iassist-979	30	11	for	for	ADP
iassist-979	30	12	example	example	NOUN
iassist-979	30	13	,	,	PUNCT
iassist-979	30	14	community	community	NOUN
iassist-979	30	15	size	size	NOUN
iassist-979	30	16	could	could	AUX
iassist-979	30	17	be	be	AUX
iassist-979	30	18	combined	combine	VERB
iassist-979	30	19	with	with	ADP
iassist-979	30	20	a	a	DET
iassist-979	30	21	broader	broad	ADJ
iassist-979	30	22	geographic	geographic	ADJ
iassist-979	30	23	grouping	grouping	NOUN
iassist-979	30	24	to	to	PART
iassist-979	30	25	guess	guess	VERB
iassist-979	30	26	the	the	DET
iassist-979	30	27	precise	precise	ADJ
iassist-979	30	28	community	community	NOUN
iassist-979	30	29	someone	someone	PRON
iassist-979	30	30	lives	live	VERB
iassist-979	30	31	in	in	ADP
iassist-979	30	32	.	.	PUNCT
iassist-979	31	1	remaining	remain	VERB
iassist-979	31	2	variables	variable	NOUN
iassist-979	31	3	in	in	ADP
iassist-979	31	4	the	the	DET
iassist-979	31	5	dataset	dataset	NOUN
iassist-979	31	6	are	be	AUX
iassist-979	31	7	nonidentifying	nonidentifye	VERB
iassist-979	31	8	variables	variable	NOUN
iassist-979	31	9	and	and	CCONJ
iassist-979	31	10	will	will	AUX
iassist-979	31	11	include	include	VERB
iassist-979	31	12	opinions	opinion	NOUN
iassist-979	31	13	and	and	CCONJ
iassist-979	31	14	ratings	rating	NOUN
iassist-979	31	15	,	,	PUNCT
iassist-979	31	16	temporary	temporary	ADJ
iassist-979	31	17	measures	measure	NOUN
iassist-979	31	18	such	such	ADJ
iassist-979	31	19	as	as	ADP
iassist-979	31	20	recent	recent	ADJ
iassist-979	31	21	food	food	NOUN
iassist-979	31	22	consumption	consumption	NOUN
iassist-979	31	23	or	or	CCONJ
iassist-979	31	24	exercise	exercise	NOUN
iassist-979	31	25	,	,	PUNCT
iassist-979	31	26	and	and	CCONJ
iassist-979	31	27	other	other	ADJ
iassist-979	31	28	research	research	NOUN
iassist-979	31	29	questions	question	NOUN
iassist-979	31	30	.	.	PUNCT
iassist-979	32	1	risk	risk	NOUN
iassist-979	32	2	is	be	AUX
iassist-979	32	3	created	create	VERB
iassist-979	32	4	when	when	SCONJ
iassist-979	32	5	there	there	PRON
iassist-979	32	6	is	be	VERB
iassist-979	32	7	the	the	DET
iassist-979	32	8	potential	potential	NOUN
iassist-979	32	9	for	for	SCONJ
iassist-979	32	10	an	an	DET
iassist-979	32	11	intruder	intruder	NOUN
iassist-979	32	12	to	to	PART
iassist-979	32	13	link	link	VERB
iassist-979	32	14	external	external	ADJ
iassist-979	32	15	information	information	NOUN
iassist-979	32	16	to	to	ADP
iassist-979	32	17	identifiers	identifier	NOUN
iassist-979	32	18	or	or	CCONJ
iassist-979	32	19	quasi	quasi	NOUN
iassist-979	32	20	-	-	NOUN
iassist-979	32	21	identifiers	identifier	NOUN
iassist-979	32	22	in	in	ADP
iassist-979	32	23	a	a	DET
iassist-979	32	24	dataset	dataset	NOUN
iassist-979	32	25	to	to	PART
iassist-979	32	26	gain	gain	VERB
iassist-979	32	27	additional	additional	ADJ
iassist-979	32	28	information	information	NOUN
iassist-979	32	29	about	about	ADP
iassist-979	32	30	individuals	individual	NOUN
iassist-979	32	31	.	.	PUNCT
iassist-979	33	1	the	the	DET
iassist-979	33	2	question	question	NOUN
iassist-979	33	3	then	then	ADV
iassist-979	33	4	becomes	become	VERB
iassist-979	33	5	,	,	PUNCT
iassist-979	33	6	how	how	SCONJ
iassist-979	33	7	do	do	AUX
iassist-979	33	8	you	you	PRON
iassist-979	33	9	decide	decide	VERB
iassist-979	33	10	whether	whether	SCONJ
iassist-979	33	11	there	there	PRON
iassist-979	33	12	are	be	VERB
iassist-979	33	13	people	people	NOUN
iassist-979	33	14	in	in	ADP
iassist-979	33	15	a	a	DET
iassist-979	33	16	dataset	dataset	NOUN
iassist-979	33	17	who	who	PRON
iassist-979	33	18	are	be	AUX
iassist-979	33	19	at	at	ADP
iassist-979	33	20	risk	risk	NOUN
iassist-979	33	21	of	of	ADP
iassist-979	33	22	being	be	AUX
iassist-979	33	23	reidentified	reidentifie	VERB
iassist-979	33	24	,	,	PUNCT
iassist-979	33	25	and	and	CCONJ
iassist-979	33	26	how	how	SCONJ
iassist-979	33	27	do	do	AUX
iassist-979	33	28	you	you	PRON
iassist-979	33	29	keep	keep	VERB
iassist-979	33	30	this	this	PRON
iassist-979	33	31	from	from	ADP
iassist-979	33	32	happening	happen	VERB
iassist-979	33	33	?	?	PUNCT
iassist-979	34	1	in	in	ADP
iassist-979	34	2	the	the	DET
iassist-979	34	3	example	example	NOUN
iassist-979	34	4	above	above	ADV
iassist-979	34	5	,	,	PUNCT
iassist-979	34	6	an	an	DET
iassist-979	34	7	obvious	obvious	ADJ
iassist-979	34	8	approach	approach	NOUN
iassist-979	34	9	might	might	AUX
iassist-979	34	10	be	be	AUX
iassist-979	34	11	to	to	PART
iassist-979	34	12	remove	remove	VERB
iassist-979	34	13	the	the	DET
iassist-979	34	14	quasi	quasi	NOUN
iassist-979	34	15	-	-	NOUN
iassist-979	34	16	identifiers	identifier	NOUN
iassist-979	34	17	of	of	ADP
iassist-979	34	18	‘	'	PUNCT
iassist-979	34	19	town	town	NOUN
iassist-979	34	20	’	'	PUNCT
iassist-979	34	21	and	and	CCONJ
iassist-979	34	22	‘	'	PUNCT
iassist-979	34	23	occupation	occupation	NOUN
iassist-979	34	24	’	'	PUNCT
iassist-979	34	25	from	from	ADP
iassist-979	34	26	the	the	DET
iassist-979	34	27	dataset	dataset	NOUN
iassist-979	34	28	.	.	PUNCT
iassist-979	35	1	but	but	CCONJ
iassist-979	35	2	there	there	PRON
iassist-979	35	3	might	might	AUX
iassist-979	35	4	still	still	ADV
iassist-979	35	5	be	be	AUX
iassist-979	35	6	some	some	DET
iassist-979	35	7	unusual	unusual	ADJ
iassist-979	35	8	combination	combination	NOUN
iassist-979	35	9	of	of	ADP
iassist-979	35	10	ethnicity	ethnicity	NOUN
iassist-979	35	11	,	,	PUNCT
iassist-979	35	12	family	family	NOUN
iassist-979	35	13	structure	structure	NOUN
iassist-979	35	14	,	,	PUNCT
iassist-979	35	15	age	age	NOUN
iassist-979	35	16	and	and	CCONJ
iassist-979	35	17	other	other	ADJ
iassist-979	35	18	demographic	demographic	ADJ
iassist-979	35	19	variables	variable	NOUN
iassist-979	35	20	that	that	PRON
iassist-979	35	21	could	could	AUX
iassist-979	35	22	lead	lead	VERB
iassist-979	35	23	to	to	ADP
iassist-979	35	24	the	the	DET
iassist-979	35	25	reidentification	reidentification	NOUN
iassist-979	35	26	of	of	ADP
iassist-979	35	27	an	an	DET
iassist-979	35	28	individual	individual	NOUN
iassist-979	35	29	.	.	PUNCT
iassist-979	36	1	removing	remove	VERB
iassist-979	36	2	all	all	DET
iassist-979	36	3	quasi	quasi	NOUN
iassist-979	36	4	-	-	NOUN
iassist-979	36	5	identifiers	identifier	NOUN
iassist-979	36	6	would	would	AUX
iassist-979	36	7	remove	remove	VERB
iassist-979	36	8	risk	risk	NOUN
iassist-979	36	9	from	from	ADP
iassist-979	36	10	the	the	DET
iassist-979	36	11	dataset	dataset	NOUN
iassist-979	36	12	but	but	CCONJ
iassist-979	36	13	is	be	AUX
iassist-979	36	14	usually	usually	ADV
iassist-979	36	15	overkill	overkill	ADJ
iassist-979	36	16	;	;	PUNCT
iassist-979	36	17	a	a	DET
iassist-979	36	18	variable	variable	NOUN
iassist-979	36	19	such	such	ADJ
iassist-979	36	20	as	as	ADP
iassist-979	36	21	gender	gender	NOUN
iassist-979	36	22	or	or	CCONJ
iassist-979	36	23	age	age	NOUN
iassist-979	36	24	on	on	ADP
iassist-979	36	25	its	its	PRON
iassist-979	36	26	own	own	ADJ
iassist-979	36	27	does	do	AUX
iassist-979	36	28	not	not	PART
iassist-979	36	29	pose	pose	VERB
iassist-979	36	30	significant	significant	ADJ
iassist-979	36	31	risk	risk	NOUN
iassist-979	36	32	.	.	PUNCT
iassist-979	37	1	and	and	CCONJ
iassist-979	37	2	demographic	demographic	ADJ
iassist-979	37	3	variables	variable	NOUN
iassist-979	37	4	are	be	AUX
iassist-979	37	5	of	of	ADP
iassist-979	37	6	great	great	ADJ
iassist-979	37	7	utility	utility	NOUN
iassist-979	37	8	to	to	ADP
iassist-979	37	9	researchers	researcher	NOUN
iassist-979	37	10	.	.	PUNCT
iassist-979	38	1	every	every	DET
iassist-979	38	2	variable	variable	NOUN
iassist-979	38	3	removed	remove	VERB
iassist-979	38	4	from	from	ADP
iassist-979	38	5	the	the	DET
iassist-979	38	6	dataset	dataset	NOUN
iassist-979	38	7	decreases	decrease	VERB
iassist-979	38	8	the	the	DET
iassist-979	38	9	dataset	dataset	NOUN
iassist-979	38	10	’s	’s	PART
iassist-979	38	11	research	research	NOUN
iassist-979	38	12	value	value	NOUN
iassist-979	38	13	.	.	PUNCT
iassist-979	39	1	rather	rather	ADV
iassist-979	39	2	than	than	ADP
iassist-979	39	3	removing	remove	VERB
iassist-979	39	4	variables	variable	NOUN
iassist-979	39	5	completely	completely	ADV
iassist-979	39	6	,	,	PUNCT
iassist-979	39	7	a	a	DET
iassist-979	39	8	common	common	ADJ
iassist-979	39	9	practice	practice	NOUN
iassist-979	39	10	is	be	AUX
iassist-979	39	11	to	to	ADP
iassist-979	39	12	group	group	NOUN
iassist-979	39	13	values	value	NOUN
iassist-979	39	14	into	into	ADP
iassist-979	39	15	broad	broad	ADJ
iassist-979	39	16	categories	category	NOUN
iassist-979	39	17	;	;	PUNCT
iassist-979	39	18	a	a	DET
iassist-979	39	19	variable	variable	NOUN
iassist-979	39	20	such	such	ADJ
iassist-979	39	21	as	as	ADP
iassist-979	39	22	occupation	occupation	NOUN
iassist-979	39	23	might	might	AUX
iassist-979	39	24	be	be	AUX
iassist-979	39	25	grouped	group	VERB
iassist-979	39	26	into	into	ADP
iassist-979	39	27	categories	category	NOUN
iassist-979	39	28	of	of	ADP
iassist-979	39	29	professional	professional	ADJ
iassist-979	39	30	and	and	CCONJ
iassist-979	39	31	nonprofessional	nonprofessional	ADJ
iassist-979	39	32	occupations	occupation	NOUN
iassist-979	39	33	or	or	CCONJ
iassist-979	39	34	according	accord	VERB
iassist-979	39	35	to	to	ADP
iassist-979	39	36	some	some	DET
iassist-979	39	37	other	other	ADJ
iassist-979	39	38	scheme	scheme	NOUN
iassist-979	39	39	,	,	PUNCT
iassist-979	39	40	age	age	NOUN
iassist-979	39	41	might	might	AUX
iassist-979	39	42	be	be	AUX
iassist-979	39	43	grouped	group	VERB
iassist-979	39	44	into	into	ADP
iassist-979	39	45	10	10	NUM
iassist-979	39	46	year	year	NOUN
iassist-979	39	47	categories	category	NOUN
iassist-979	39	48	,	,	PUNCT
iassist-979	39	49	and	and	CCONJ
iassist-979	39	50	similar	similar	ADJ
iassist-979	39	51	measures	measure	NOUN
iassist-979	39	52	may	may	AUX
iassist-979	39	53	be	be	AUX
iassist-979	39	54	taken	take	VERB
iassist-979	39	55	with	with	ADP
iassist-979	39	56	other	other	ADJ
iassist-979	39	57	variables	variable	NOUN
iassist-979	39	58	.	.	PUNCT
iassist-979	40	1	but	but	CCONJ
iassist-979	40	2	the	the	DET
iassist-979	40	3	question	question	NOUN
iassist-979	40	4	remains	remain	VERB
iassist-979	40	5	:	:	PUNCT
iassist-979	40	6	how	how	SCONJ
iassist-979	40	7	can	can	AUX
iassist-979	40	8	we	we	PRON
iassist-979	40	9	be	be	AUX
iassist-979	40	10	sure	sure	ADJ
iassist-979	40	11	we	we	PRON
iassist-979	40	12	have	have	AUX
iassist-979	40	13	done	do	VERB
iassist-979	40	14	enough	enough	ADV
iassist-979	40	15	to	to	PART
iassist-979	40	16	ensure	ensure	VERB
iassist-979	40	17	that	that	SCONJ
iassist-979	40	18	participants	participant	NOUN
iassist-979	40	19	remain	remain	VERB
iassist-979	40	20	anonymous	anonymous	ADJ
iassist-979	40	21	?	?	PUNCT
iassist-979	41	1	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	41	2	3/13	3/13	NUM
iassist-979	41	3	thompson	thompson	PROPN
iassist-979	41	4	,	,	PUNCT
iassist-979	41	5	kristi	kristi	PROPN
iassist-979	41	6	and	and	CCONJ
iassist-979	41	7	sullivan	sullivan	PROPN
iassist-979	41	8	,	,	PUNCT
iassist-979	41	9	carolyn	carolyn	PROPN
iassist-979	41	10	(	(	PUNCT
iassist-979	41	11	2020	2020	NUM
iassist-979	41	12	)	)	PUNCT
iassist-979	41	13	mathematics	mathematic	NOUN
iassist-979	41	14	,	,	PUNCT
iassist-979	41	15	risk	risk	NOUN
iassist-979	41	16	,	,	PUNCT
iassist-979	41	17	and	and	CCONJ
iassist-979	41	18	messy	messy	ADJ
iassist-979	41	19	survey	survey	NOUN
iassist-979	41	20	data	datum	NOUN
iassist-979	41	21	,	,	PUNCT
iassist-979	41	22	iassist	iassist	VERB
iassist-979	41	23	quarterly	quarterly	ADJ
iassist-979	41	24	44(4	44(4	NOUN
iassist-979	41	25	)	)	PUNCT
iassist-979	41	26	,	,	PUNCT
iassist-979	41	27	pp	pp	ADP
iassist-979	41	28	.	.	PUNCT
iassist-979	42	1	1	1	NUM
iassist-979	42	2	-	-	SYM
iassist-979	42	3	13	13	NUM
iassist-979	42	4	.	.	PUNCT
iassist-979	43	1	doi	doi	NOUN
iassist-979	43	2	:	:	PUNCT
iassist-979	43	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	43	4	introduction	introduction	NOUN
iassist-979	43	5	to	to	ADP
iassist-979	43	6	k	k	X
iassist-979	43	7	-	-	VERB
iassist-979	43	8	anonymity	anonymity	VERB
iassist-979	43	9	a	a	DET
iassist-979	43	10	common	common	ADJ
iassist-979	43	11	approach	approach	NOUN
iassist-979	43	12	is	be	AUX
iassist-979	43	13	k	k	NOUN
iassist-979	43	14	-	-	NOUN
iassist-979	43	15	anonymity	anonymity	NOUN
iassist-979	43	16	,	,	PUNCT
iassist-979	43	17	one	one	NUM
iassist-979	43	18	type	type	NOUN
iassist-979	43	19	of	of	ADP
iassist-979	43	20	what	what	PRON
iassist-979	43	21	is	be	AUX
iassist-979	43	22	called	call	VERB
iassist-979	43	23	data	datum	NOUN
iassist-979	43	24	analytic	analytic	ADJ
iassist-979	43	25	risk	risk	NOUN
iassist-979	43	26	assessment	assessment	NOUN
iassist-979	43	27	(	(	PUNCT
iassist-979	43	28	dara	dara	PROPN
iassist-979	43	29	)	)	PUNCT
iassist-979	43	30	or	or	CCONJ
iassist-979	43	31	statistical	statistical	ADJ
iassist-979	43	32	disclosure	disclosure	NOUN
iassist-979	43	33	risk	risk	NOUN
iassist-979	43	34	assessment	assessment	NOUN
iassist-979	43	35	(	(	PUNCT
iassist-979	43	36	eliot	eliot	PROPN
iassist-979	43	37	,	,	PUNCT
iassist-979	43	38	mckay	mckay	PROPN
iassist-979	43	39	et	et	PROPN
iassist-979	43	40	al	al	PROPN
iassist-979	43	41	,	,	PUNCT
iassist-979	43	42	2015	2015	NUM
iassist-979	43	43	)	)	PUNCT
iassist-979	43	44	.	.	PUNCT
iassist-979	44	1	k	k	X
iassist-979	44	2	-	-	PUNCT
iassist-979	44	3	anonymity	anonymity	NOUN
iassist-979	44	4	was	be	AUX
iassist-979	44	5	first	first	ADV
iassist-979	44	6	developed	develop	VERB
iassist-979	44	7	by	by	ADP
iassist-979	44	8	computer	computer	NOUN
iassist-979	44	9	scientists	scientist	NOUN
iassist-979	44	10	sweeney	sweeney	NOUN
iassist-979	44	11	and	and	CCONJ
iassist-979	44	12	samarati	samarati	NOUN
iassist-979	44	13	(	(	PUNCT
iassist-979	44	14	1998	1998	NUM
iassist-979	44	15	)	)	PUNCT
iassist-979	44	16	and	and	CCONJ
iassist-979	44	17	has	have	AUX
iassist-979	44	18	formed	form	VERB
iassist-979	44	19	the	the	DET
iassist-979	44	20	basis	basis	NOUN
iassist-979	44	21	of	of	ADP
iassist-979	44	22	formal	formal	ADJ
iassist-979	44	23	data	datum	NOUN
iassist-979	44	24	anonymization	anonymization	NOUN
iassist-979	44	25	efforts	effort	NOUN
iassist-979	44	26	since	since	SCONJ
iassist-979	44	27	then	then	ADV
iassist-979	44	28	.	.	PUNCT
iassist-979	45	1	ayala	ayala	PROPN
iassist-979	45	2	-	-	PUNCT
iassist-979	45	3	rivera	rivera	PROPN
iassist-979	45	4	,	,	PUNCT
iassist-979	45	5	mcdonagh	mcdonagh	PROPN
iassist-979	45	6	et	et	PROPN
iassist-979	45	7	al	al	PROPN
iassist-979	45	8	(	(	PUNCT
iassist-979	45	9	2014	2014	NUM
iassist-979	45	10	)	)	PUNCT
iassist-979	45	11	describe	describe	VERB
iassist-979	45	12	it	it	PRON
iassist-979	45	13	as	as	ADP
iassist-979	45	14	a	a	DET
iassist-979	45	15	‘	'	PUNCT
iassist-979	45	16	fundamental	fundamental	ADJ
iassist-979	45	17	principle	principle	NOUN
iassist-979	45	18	of	of	ADP
iassist-979	45	19	privacy	privacy	NOUN
iassist-979	45	20	’	'	PUNCT
iassist-979	45	21	and	and	CCONJ
iassist-979	45	22	‘	'	PUNCT
iassist-979	45	23	widely	widely	ADV
iassist-979	45	24	discussed	discuss	VERB
iassist-979	45	25	and	and	CCONJ
iassist-979	45	26	adopted	adopt	VERB
iassist-979	45	27	in	in	ADP
iassist-979	45	28	a	a	DET
iassist-979	45	29	variety	variety	NOUN
iassist-979	45	30	of	of	ADP
iassist-979	45	31	domains	domain	NOUN
iassist-979	45	32	’	'	PUNCT
iassist-979	45	33	.	.	PUNCT
iassist-979	46	1	simi	simi	PROPN
iassist-979	46	2	et	et	PROPN
iassist-979	46	3	al	al	PROPN
iassist-979	46	4	call	call	VERB
iassist-979	46	5	it	it	PRON
iassist-979	46	6	the	the	DET
iassist-979	46	7	‘	'	PUNCT
iassist-979	46	8	primary	primary	ADJ
iassist-979	46	9	model	model	NOUN
iassist-979	46	10	proposed	propose	VERB
iassist-979	46	11	for	for	ADP
iassist-979	46	12	microdata	microdata	NOUN
iassist-979	46	13	anonymization	anonymization	NOUN
iassist-979	46	14	’	'	PUNCT
iassist-979	46	15	and	and	CCONJ
iassist-979	46	16	‘	'	PUNCT
iassist-979	46	17	the	the	DET
iassist-979	46	18	base	base	NOUN
iassist-979	46	19	from	from	ADP
iassist-979	46	20	which	which	PRON
iassist-979	46	21	further	further	ADJ
iassist-979	46	22	expansions	expansion	NOUN
iassist-979	46	23	have	have	AUX
iassist-979	46	24	been	be	AUX
iassist-979	46	25	developed	develop	VERB
iassist-979	46	26	.	.	PUNCT
iassist-979	46	27	’	'	PUNCT
iassist-979	47	1	the	the	DET
iassist-979	47	2	concept	concept	NOUN
iassist-979	47	3	behind	behind	ADP
iassist-979	47	4	k	k	NOUN
iassist-979	47	5	-	-	NOUN
iassist-979	47	6	anonymity	anonymity	NOUN
iassist-979	47	7	is	be	AUX
iassist-979	47	8	relatively	relatively	ADV
iassist-979	47	9	straightforward	straightforward	ADJ
iassist-979	47	10	:	:	PUNCT
iassist-979	47	11	it	it	PRON
iassist-979	47	12	should	should	AUX
iassist-979	47	13	not	not	PART
iassist-979	47	14	be	be	AUX
iassist-979	47	15	possible	possible	ADJ
iassist-979	47	16	to	to	PART
iassist-979	47	17	isolate	isolate	VERB
iassist-979	47	18	fewer	few	ADJ
iassist-979	47	19	than	than	ADP
iassist-979	47	20	k	k	PROPN
iassist-979	47	21	individual	individual	ADJ
iassist-979	47	22	cases	case	NOUN
iassist-979	47	23	in	in	ADP
iassist-979	47	24	your	your	PRON
iassist-979	47	25	dataset	dataset	NOUN
iassist-979	47	26	based	base	VERB
iassist-979	47	27	on	on	ADP
iassist-979	47	28	any	any	DET
iassist-979	47	29	combination	combination	NOUN
iassist-979	47	30	of	of	ADP
iassist-979	47	31	identifying	identify	VERB
iassist-979	47	32	variables	variable	NOUN
iassist-979	47	33	,	,	PUNCT
iassist-979	47	34	where	where	SCONJ
iassist-979	47	35	k	k	PROPN
iassist-979	47	36	is	be	AUX
iassist-979	47	37	an	an	DET
iassist-979	47	38	integer	integer	NOUN
iassist-979	47	39	set	set	VERB
iassist-979	47	40	by	by	ADP
iassist-979	47	41	the	the	DET
iassist-979	47	42	researcher	researcher	NOUN
iassist-979	47	43	,	,	PUNCT
iassist-979	47	44	typically	typically	ADV
iassist-979	47	45	5	5	NUM
iassist-979	47	46	.	.	X
iassist-979	47	47	that	that	ADV
iassist-979	47	48	is	is	ADV
iassist-979	47	49	,	,	PUNCT
iassist-979	47	50	a	a	DET
iassist-979	47	51	record	record	NOUN
iassist-979	47	52	can	can	AUX
iassist-979	47	53	not	not	PART
iassist-979	47	54	be	be	AUX
iassist-979	47	55	distinguished	distinguish	VERB
iassist-979	47	56	from	from	ADP
iassist-979	47	57	k-1	k-1	PROPN
iassist-979	47	58	other	other	ADJ
iassist-979	47	59	records	record	NOUN
iassist-979	47	60	.	.	PUNCT
iassist-979	48	1	a	a	DET
iassist-979	48	2	minimum	minimum	NOUN
iassist-979	48	3	of	of	ADP
iassist-979	48	4	3	3	NUM
iassist-979	48	5	is	be	AUX
iassist-979	48	6	commonly	commonly	ADV
iassist-979	48	7	suggested	suggest	VERB
iassist-979	48	8	for	for	ADP
iassist-979	48	9	k	k	PROPN
iassist-979	48	10	;	;	PUNCT
iassist-979	48	11	in	in	ADP
iassist-979	48	12	practice	practice	NOUN
iassist-979	48	13	a	a	DET
iassist-979	48	14	value	value	NOUN
iassist-979	48	15	of	of	ADP
iassist-979	48	16	5	5	NUM
iassist-979	48	17	is	be	AUX
iassist-979	48	18	often	often	ADV
iassist-979	48	19	used	use	VERB
iassist-979	48	20	.	.	PUNCT
iassist-979	49	1	according	accord	VERB
iassist-979	49	2	to	to	ADP
iassist-979	49	3	el	el	PROPN
iassist-979	49	4	emam	emam	PROPN
iassist-979	49	5	and	and	CCONJ
iassist-979	49	6	dankar	dankar	PROPN
iassist-979	49	7	(	(	PUNCT
iassist-979	49	8	2008	2008	NUM
iassist-979	49	9	)	)	PUNCT
iassist-979	49	10	data	datum	NOUN
iassist-979	49	11	custodians	custodian	NOUN
iassist-979	49	12	should	should	AUX
iassist-979	49	13	‘	'	PUNCT
iassist-979	49	14	select	select	VERB
iassist-979	49	15	a	a	DET
iassist-979	49	16	value	value	NOUN
iassist-979	49	17	of	of	ADP
iassist-979	49	18	k	k	PROPN
iassist-979	49	19	commensurate	commensurate	ADJ
iassist-979	49	20	with	with	ADP
iassist-979	49	21	the	the	DET
iassist-979	49	22	re	re	NOUN
iassist-979	49	23	-	-	NOUN
iassist-979	49	24	identification	identification	NOUN
iassist-979	49	25	probability	probability	NOUN
iassist-979	49	26	they	they	PRON
iassist-979	49	27	are	be	AUX
iassist-979	49	28	willing	willing	ADJ
iassist-979	49	29	to	to	PART
iassist-979	49	30	tolerate	tolerate	VERB
iassist-979	49	31	—	—	PUNCT
iassist-979	49	32	a	a	DET
iassist-979	49	33	threshold	threshold	NOUN
iassist-979	49	34	risk	risk	NOUN
iassist-979	49	35	.	.	PUNCT
iassist-979	49	36	’	'	PUNCT
iassist-979	50	1	they	they	PRON
iassist-979	50	2	also	also	ADV
iassist-979	50	3	note	note	VERB
iassist-979	50	4	that	that	SCONJ
iassist-979	50	5	‘	'	PUNCT
iassist-979	50	6	it	it	PRON
iassist-979	50	7	is	be	AUX
iassist-979	50	8	uncommon	uncommon	ADJ
iassist-979	50	9	for	for	SCONJ
iassist-979	50	10	data	datum	NOUN
iassist-979	50	11	custodians	custodian	NOUN
iassist-979	50	12	to	to	PART
iassist-979	50	13	use	use	VERB
iassist-979	50	14	values	value	NOUN
iassist-979	50	15	of	of	ADP
iassist-979	50	16	k	k	PROPN
iassist-979	50	17	above	above	ADP
iassist-979	50	18	5	5	NUM
iassist-979	50	19	.	.	PUNCT
iassist-979	50	20	‘	'	PUNCT
iassist-979	50	21	an	an	DET
iassist-979	50	22	example	example	NOUN
iassist-979	50	23	may	may	AUX
iassist-979	50	24	help	help	VERB
iassist-979	50	25	illustrate	illustrate	VERB
iassist-979	50	26	this	this	DET
iassist-979	50	27	concept	concept	NOUN
iassist-979	50	28	.	.	PUNCT
iassist-979	51	1	imagine	imagine	VERB
iassist-979	51	2	your	your	PRON
iassist-979	51	3	survey	survey	NOUN
iassist-979	51	4	has	have	VERB
iassist-979	51	5	four	four	NUM
iassist-979	51	6	demographic	demographic	ADJ
iassist-979	51	7	variables	variable	NOUN
iassist-979	51	8	:	:	PUNCT
iassist-979	51	9	marital	marital	ADJ
iassist-979	51	10	status	status	NOUN
iassist-979	51	11	,	,	PUNCT
iassist-979	51	12	age	age	NOUN
iassist-979	51	13	group	group	NOUN
iassist-979	51	14	,	,	PUNCT
iassist-979	51	15	gender	gender	NOUN
iassist-979	51	16	,	,	PUNCT
iassist-979	51	17	and	and	CCONJ
iassist-979	51	18	ethnic	ethnic	ADJ
iassist-979	51	19	group	group	NOUN
iassist-979	51	20	.	.	PUNCT
iassist-979	52	1	if	if	SCONJ
iassist-979	52	2	an	an	DET
iassist-979	52	3	individual	individual	NOUN
iassist-979	52	4	in	in	ADP
iassist-979	52	5	the	the	DET
iassist-979	52	6	dataset	dataset	NOUN
iassist-979	52	7	is	be	AUX
iassist-979	52	8	white	white	ADJ
iassist-979	52	9	,	,	PUNCT
iassist-979	52	10	married	married	ADJ
iassist-979	52	11	,	,	PUNCT
iassist-979	52	12	over	over	ADP
iassist-979	52	13	65	65	NUM
iassist-979	52	14	,	,	PUNCT
iassist-979	52	15	and	and	CCONJ
iassist-979	52	16	female	female	NOUN
iassist-979	52	17	,	,	PUNCT
iassist-979	52	18	then	then	ADV
iassist-979	52	19	for	for	SCONJ
iassist-979	52	20	the	the	DET
iassist-979	52	21	data	datum	NOUN
iassist-979	52	22	to	to	PART
iassist-979	52	23	have	have	VERB
iassist-979	52	24	k	k	NOUN
iassist-979	52	25	-	-	NOUN
iassist-979	52	26	anonymity	anonymity	NOUN
iassist-979	52	27	with	with	ADP
iassist-979	52	28	k=5	k=5	PROPN
iassist-979	52	29	,	,	PUNCT
iassist-979	52	30	there	there	PRON
iassist-979	52	31	must	must	AUX
iassist-979	52	32	be	be	AUX
iassist-979	52	33	at	at	ADV
iassist-979	52	34	least	least	ADJ
iassist-979	52	35	four	four	NUM
iassist-979	52	36	other	other	ADJ
iassist-979	52	37	individuals	individual	NOUN
iassist-979	52	38	in	in	ADP
iassist-979	52	39	the	the	DET
iassist-979	52	40	dataset	dataset	NOUN
iassist-979	52	41	with	with	ADP
iassist-979	52	42	the	the	DET
iassist-979	52	43	same	same	ADJ
iassist-979	52	44	set	set	NOUN
iassist-979	52	45	of	of	ADP
iassist-979	52	46	characteristics	characteristic	NOUN
iassist-979	52	47	.	.	PUNCT
iassist-979	53	1	this	this	PRON
iassist-979	53	2	also	also	ADV
iassist-979	53	3	must	must	AUX
iassist-979	53	4	be	be	AUX
iassist-979	53	5	true	true	ADJ
iassist-979	53	6	for	for	ADP
iassist-979	53	7	every	every	DET
iassist-979	53	8	other	other	ADJ
iassist-979	53	9	individual	individual	NOUN
iassist-979	53	10	in	in	ADP
iassist-979	53	11	the	the	DET
iassist-979	53	12	dataset	dataset	NOUN
iassist-979	53	13	;	;	PUNCT
iassist-979	53	14	each	each	DET
iassist-979	53	15	person	person	NOUN
iassist-979	53	16	must	must	AUX
iassist-979	53	17	have	have	VERB
iassist-979	53	18	at	at	ADV
iassist-979	53	19	least	least	ADV
iassist-979	53	20	four	four	NUM
iassist-979	53	21	data	datum	NOUN
iassist-979	53	22	twins	twin	NOUN
iassist-979	53	23	.	.	PUNCT
iassist-979	54	1	even	even	ADV
iassist-979	54	2	if	if	SCONJ
iassist-979	54	3	an	an	DET
iassist-979	54	4	intruder	intruder	NOUN
iassist-979	54	5	knew	know	VERB
iassist-979	54	6	that	that	SCONJ
iassist-979	54	7	an	an	DET
iassist-979	54	8	individual	individual	NOUN
iassist-979	54	9	was	be	AUX
iassist-979	54	10	in	in	ADP
iassist-979	54	11	the	the	DET
iassist-979	54	12	dataset	dataset	NOUN
iassist-979	54	13	and	and	CCONJ
iassist-979	54	14	was	be	AUX
iassist-979	54	15	able	able	ADJ
iassist-979	54	16	to	to	PART
iassist-979	54	17	match	match	VERB
iassist-979	54	18	their	their	PRON
iassist-979	54	19	characteristics	characteristic	NOUN
iassist-979	54	20	against	against	ADP
iassist-979	54	21	the	the	DET
iassist-979	54	22	data	datum	NOUN
iassist-979	54	23	,	,	PUNCT
iassist-979	54	24	they	they	PRON
iassist-979	54	25	would	would	AUX
iassist-979	54	26	not	not	PART
iassist-979	54	27	be	be	AUX
iassist-979	54	28	able	able	ADJ
iassist-979	54	29	to	to	PART
iassist-979	54	30	tell	tell	VERB
iassist-979	54	31	which	which	PRON
iassist-979	54	32	of	of	ADP
iassist-979	54	33	the	the	DET
iassist-979	54	34	five	five	NUM
iassist-979	54	35	cases	case	NOUN
iassist-979	54	36	was	be	AUX
iassist-979	54	37	the	the	DET
iassist-979	54	38	target	target	NOUN
iassist-979	54	39	individual	individual	NOUN
iassist-979	54	40	.	.	PUNCT
iassist-979	55	1	a	a	DET
iassist-979	55	2	set	set	NOUN
iassist-979	55	3	of	of	ADP
iassist-979	55	4	data	datum	NOUN
iassist-979	55	5	twins	twin	NOUN
iassist-979	55	6	,	,	PUNCT
iassist-979	55	7	or	or	CCONJ
iassist-979	55	8	cases	case	NOUN
iassist-979	55	9	with	with	ADP
iassist-979	55	10	the	the	DET
iassist-979	55	11	same	same	ADJ
iassist-979	55	12	values	value	NOUN
iassist-979	55	13	on	on	ADP
iassist-979	55	14	all	all	DET
iassist-979	55	15	potentially	potentially	ADV
iassist-979	55	16	identifying	identify	VERB
iassist-979	55	17	variables	variable	NOUN
iassist-979	55	18	,	,	PUNCT
iassist-979	55	19	is	be	AUX
iassist-979	55	20	called	call	VERB
iassist-979	55	21	an	an	DET
iassist-979	55	22	equivalence	equivalence	NOUN
iassist-979	55	23	class	class	NOUN
iassist-979	55	24	.	.	PUNCT
iassist-979	56	1	an	an	DET
iassist-979	56	2	individual	individual	NOUN
iassist-979	56	3	in	in	ADP
iassist-979	56	4	the	the	DET
iassist-979	56	5	dataset	dataset	NOUN
iassist-979	56	6	who	who	PRON
iassist-979	56	7	does	do	AUX
iassist-979	56	8	not	not	PART
iassist-979	56	9	have	have	VERB
iassist-979	56	10	any	any	DET
iassist-979	56	11	data	data	NOUN
iassist-979	56	12	twins	twin	VERB
iassist-979	56	13	an	an	DET
iassist-979	56	14	equivalence	equivalence	NOUN
iassist-979	56	15	class	class	NOUN
iassist-979	56	16	of	of	ADP
iassist-979	56	17	one	one	NUM
iassist-979	56	18	is	be	AUX
iassist-979	56	19	called	call	VERB
iassist-979	56	20	a	a	DET
iassist-979	56	21	sample	sample	NOUN
iassist-979	56	22	unique	unique	ADJ
iassist-979	56	23	.	.	PUNCT
iassist-979	57	1	this	this	DET
iassist-979	57	2	individual	individual	NOUN
iassist-979	57	3	is	be	AUX
iassist-979	57	4	at	at	ADP
iassist-979	57	5	risk	risk	NOUN
iassist-979	57	6	of	of	ADP
iassist-979	57	7	being	be	AUX
iassist-979	57	8	re	re	VERB
iassist-979	57	9	-	-	VERB
iassist-979	57	10	identified	identify	VERB
iassist-979	57	11	.	.	PUNCT
iassist-979	58	1	if	if	SCONJ
iassist-979	58	2	the	the	DET
iassist-979	58	3	dataset	dataset	NOUN
iassist-979	58	4	is	be	AUX
iassist-979	58	5	a	a	DET
iassist-979	58	6	complete	complete	ADJ
iassist-979	58	7	sample	sample	NOUN
iassist-979	58	8	of	of	ADP
iassist-979	58	9	a	a	DET
iassist-979	58	10	small	small	ADJ
iassist-979	58	11	population	population	NOUN
iassist-979	58	12	(	(	PUNCT
iassist-979	58	13	for	for	ADP
iassist-979	58	14	example	example	NOUN
iassist-979	58	15	,	,	PUNCT
iassist-979	58	16	employees	employee	NOUN
iassist-979	58	17	at	at	ADP
iassist-979	58	18	a	a	DET
iassist-979	58	19	particular	particular	ADJ
iassist-979	58	20	company	company	NOUN
iassist-979	58	21	)	)	PUNCT
iassist-979	58	22	then	then	ADV
iassist-979	58	23	this	this	DET
iassist-979	58	24	sample	sample	NOUN
iassist-979	58	25	unique	unique	ADJ
iassist-979	58	26	will	will	AUX
iassist-979	58	27	also	also	ADV
iassist-979	58	28	be	be	AUX
iassist-979	58	29	a	a	DET
iassist-979	58	30	population	population	NOUN
iassist-979	58	31	unique	unique	ADJ
iassist-979	58	32	,	,	PUNCT
iassist-979	58	33	and	and	CCONJ
iassist-979	58	34	an	an	DET
iassist-979	58	35	intruder	intruder	NOUN
iassist-979	58	36	looking	look	VERB
iassist-979	58	37	at	at	ADP
iassist-979	58	38	this	this	DET
iassist-979	58	39	dataset	dataset	NOUN
iassist-979	58	40	will	will	AUX
iassist-979	58	41	be	be	AUX
iassist-979	58	42	able	able	ADJ
iassist-979	58	43	to	to	PART
iassist-979	58	44	definitively	definitively	ADV
iassist-979	58	45	identify	identify	VERB
iassist-979	58	46	this	this	DET
iassist-979	58	47	person	person	NOUN
iassist-979	58	48	.	.	PUNCT
iassist-979	59	1	even	even	ADV
iassist-979	59	2	if	if	SCONJ
iassist-979	59	3	the	the	DET
iassist-979	59	4	dataset	dataset	NOUN
iassist-979	59	5	is	be	AUX
iassist-979	59	6	not	not	PART
iassist-979	59	7	a	a	DET
iassist-979	59	8	complete	complete	ADJ
iassist-979	59	9	sample	sample	NOUN
iassist-979	59	10	,	,	PUNCT
iassist-979	59	11	it	it	PRON
iassist-979	59	12	is	be	AUX
iassist-979	59	13	still	still	ADV
iassist-979	59	14	possible	possible	ADJ
iassist-979	59	15	that	that	SCONJ
iassist-979	59	16	this	this	DET
iassist-979	59	17	person	person	NOUN
iassist-979	59	18	may	may	AUX
iassist-979	59	19	be	be	AUX
iassist-979	59	20	a	a	DET
iassist-979	59	21	population	population	NOUN
iassist-979	59	22	unique	unique	ADJ
iassist-979	59	23	or	or	CCONJ
iassist-979	59	24	have	have	VERB
iassist-979	59	25	some	some	DET
iassist-979	59	26	combination	combination	NOUN
iassist-979	59	27	of	of	ADP
iassist-979	59	28	rare	rare	ADJ
iassist-979	59	29	characteristics	characteristic	NOUN
iassist-979	59	30	that	that	PRON
iassist-979	59	31	makes	make	VERB
iassist-979	59	32	it	it	PRON
iassist-979	59	33	easy	easy	ADJ
iassist-979	59	34	to	to	PART
iassist-979	59	35	narrow	narrow	VERB
iassist-979	59	36	down	down	ADP
iassist-979	59	37	their	their	PRON
iassist-979	59	38	identity	identity	NOUN
iassist-979	59	39	to	to	ADP
iassist-979	59	40	a	a	DET
iassist-979	59	41	small	small	ADJ
iassist-979	59	42	number	number	NOUN
iassist-979	59	43	of	of	ADP
iassist-979	59	44	candidates	candidate	NOUN
iassist-979	59	45	.	.	PUNCT
iassist-979	60	1	k	k	X
iassist-979	60	2	-	-	PUNCT
iassist-979	60	3	anonymity	anonymity	NOUN
iassist-979	60	4	is	be	AUX
iassist-979	60	5	not	not	PART
iassist-979	60	6	always	always	ADV
iassist-979	60	7	sufficient	sufficient	ADJ
iassist-979	60	8	k	k	NOUN
iassist-979	60	9	-	-	NOUN
iassist-979	60	10	anonymity	anonymity	NOUN
iassist-979	60	11	is	be	AUX
iassist-979	60	12	a	a	DET
iassist-979	60	13	useful	useful	ADJ
iassist-979	60	14	technique	technique	NOUN
iassist-979	60	15	for	for	ADP
iassist-979	60	16	limiting	limit	VERB
iassist-979	60	17	the	the	DET
iassist-979	60	18	possibility	possibility	NOUN
iassist-979	60	19	of	of	ADP
iassist-979	60	20	exposure	exposure	NOUN
iassist-979	60	21	of	of	ADP
iassist-979	60	22	the	the	DET
iassist-979	60	23	identity	identity	NOUN
iassist-979	60	24	of	of	ADP
iassist-979	60	25	the	the	DET
iassist-979	60	26	individuals	individual	NOUN
iassist-979	60	27	in	in	ADP
iassist-979	60	28	a	a	DET
iassist-979	60	29	data	data	NOUN
iassist-979	60	30	set	set	VERB
iassist-979	60	31	.	.	PUNCT
iassist-979	61	1	however	however	ADV
iassist-979	61	2	,	,	PUNCT
iassist-979	61	3	it	it	PRON
iassist-979	61	4	may	may	AUX
iassist-979	61	5	not	not	PART
iassist-979	61	6	always	always	ADV
iassist-979	61	7	be	be	AUX
iassist-979	61	8	sufficient	sufficient	ADJ
iassist-979	61	9	to	to	PART
iassist-979	61	10	prohibit	prohibit	VERB
iassist-979	61	11	attribute	attribute	NOUN
iassist-979	61	12	disclosure	disclosure	NOUN
iassist-979	61	13	,	,	PUNCT
iassist-979	61	14	as	as	SCONJ
iassist-979	61	15	many	many	ADJ
iassist-979	61	16	articles	article	NOUN
iassist-979	61	17	have	have	AUX
iassist-979	61	18	noted	note	VERB
iassist-979	61	19	.	.	PUNCT
iassist-979	62	1	consider	consider	VERB
iassist-979	62	2	the	the	DET
iassist-979	62	3	above	above	ADJ
iassist-979	62	4	dataset	dataset	NOUN
iassist-979	62	5	,	,	PUNCT
iassist-979	62	6	hypothetically	hypothetically	ADV
iassist-979	62	7	a	a	DET
iassist-979	62	8	complete	complete	ADJ
iassist-979	62	9	sample	sample	NOUN
iassist-979	62	10	of	of	ADP
iassist-979	62	11	all	all	DET
iassist-979	62	12	employees	employee	NOUN
iassist-979	62	13	at	at	ADP
iassist-979	62	14	a	a	DET
iassist-979	62	15	particular	particular	ADJ
iassist-979	62	16	company	company	NOUN
iassist-979	62	17	.	.	PUNCT
iassist-979	63	1	by	by	ADP
iassist-979	63	2	grouping	group	VERB
iassist-979	63	3	and	and	CCONJ
iassist-979	63	4	categorizing	categorize	VERB
iassist-979	63	5	variables	variable	NOUN
iassist-979	63	6	,	,	PUNCT
iassist-979	63	7	we	we	PRON
iassist-979	63	8	have	have	AUX
iassist-979	63	9	achieved	achieve	VERB
iassist-979	63	10	kanonymity	kanonymity	NOUN
iassist-979	63	11	with	with	ADP
iassist-979	63	12	a	a	DET
iassist-979	63	13	k	k	NOUN
iassist-979	63	14	of	of	ADP
iassist-979	63	15	5	5	NUM
iassist-979	63	16	the	the	DET
iassist-979	63	17	smallest	small	ADJ
iassist-979	63	18	equivalence	equivalence	NOUN
iassist-979	63	19	class	class	NOUN
iassist-979	63	20	in	in	ADP
iassist-979	63	21	the	the	DET
iassist-979	63	22	dataset	dataset	NOUN
iassist-979	63	23	contains	contain	VERB
iassist-979	63	24	at	at	ADV
iassist-979	63	25	least	least	ADV
iassist-979	63	26	five	five	NUM
iassist-979	63	27	respondents	respondent	NOUN
iassist-979	63	28	.	.	PUNCT
iassist-979	64	1	none	none	NOUN
iassist-979	64	2	of	of	ADP
iassist-979	64	3	the	the	DET
iassist-979	64	4	individuals	individual	NOUN
iassist-979	64	5	in	in	ADP
iassist-979	64	6	the	the	DET
iassist-979	64	7	dataset	dataset	NOUN
iassist-979	64	8	can	can	AUX
iassist-979	64	9	be	be	AUX
iassist-979	64	10	identified	identify	VERB
iassist-979	64	11	with	with	ADP
iassist-979	64	12	any	any	DET
iassist-979	64	13	certainty	certainty	NOUN
iassist-979	64	14	.	.	PUNCT
iassist-979	65	1	however	however	ADV
iassist-979	65	2	,	,	PUNCT
iassist-979	65	3	imagine	imagine	VERB
iassist-979	65	4	that	that	SCONJ
iassist-979	65	5	all	all	DET
iassist-979	65	6	the	the	DET
iassist-979	65	7	respondents	respondent	NOUN
iassist-979	65	8	in	in	ADP
iassist-979	65	9	an	an	DET
iassist-979	65	10	equivalence	equivalence	NOUN
iassist-979	65	11	class	class	NOUN
iassist-979	65	12	answered	answer	VERB
iassist-979	65	13	a	a	DET
iassist-979	65	14	question	question	NOUN
iassist-979	65	15	the	the	DET
iassist-979	65	16	same	same	ADJ
iassist-979	65	17	way	way	NOUN
iassist-979	65	18	for	for	ADP
iassist-979	65	19	example	example	NOUN
iassist-979	65	20	,	,	PUNCT
iassist-979	65	21	all	all	DET
iassist-979	65	22	the	the	DET
iassist-979	65	23	employees	employee	NOUN
iassist-979	65	24	at	at	ADP
iassist-979	65	25	our	our	PRON
iassist-979	65	26	company	company	NOUN
iassist-979	65	27	with	with	ADP
iassist-979	65	28	a	a	DET
iassist-979	65	29	specific	specific	ADJ
iassist-979	65	30	combination	combination	NOUN
iassist-979	65	31	of	of	ADP
iassist-979	65	32	characteristics	characteristic	NOUN
iassist-979	65	33	answered	answer	VERB
iassist-979	65	34	’	'	PUNCT
iassist-979	65	35	yes	yes	INTJ
iassist-979	65	36	‘	'	PUNCT
iassist-979	65	37	to	to	ADP
iassist-979	65	38	a	a	DET
iassist-979	65	39	question	question	NOUN
iassist-979	65	40	about	about	ADP
iassist-979	65	41	organizing	organize	VERB
iassist-979	65	42	a	a	DET
iassist-979	65	43	union	union	NOUN
iassist-979	65	44	.	.	PUNCT
iassist-979	66	1	if	if	SCONJ
iassist-979	66	2	a	a	DET
iassist-979	66	3	manager	manager	NOUN
iassist-979	66	4	at	at	ADP
iassist-979	66	5	this	this	DET
iassist-979	66	6	company	company	NOUN
iassist-979	66	7	looked	look	VERB
iassist-979	66	8	at	at	ADP
iassist-979	66	9	the	the	DET
iassist-979	66	10	data	datum	NOUN
iassist-979	66	11	,	,	PUNCT
iassist-979	66	12	that	that	SCONJ
iassist-979	66	13	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	66	14	4/13	4/13	NUM
iassist-979	66	15	thompson	thompson	PROPN
iassist-979	66	16	,	,	PUNCT
iassist-979	66	17	kristi	kristi	PROPN
iassist-979	66	18	and	and	CCONJ
iassist-979	66	19	sullivan	sullivan	PROPN
iassist-979	66	20	,	,	PUNCT
iassist-979	66	21	carolyn	carolyn	PROPN
iassist-979	66	22	(	(	PUNCT
iassist-979	66	23	2020	2020	NUM
iassist-979	66	24	)	)	PUNCT
iassist-979	66	25	mathematics	mathematic	NOUN
iassist-979	66	26	,	,	PUNCT
iassist-979	66	27	risk	risk	NOUN
iassist-979	66	28	,	,	PUNCT
iassist-979	66	29	and	and	CCONJ
iassist-979	66	30	messy	messy	ADJ
iassist-979	66	31	survey	survey	NOUN
iassist-979	66	32	data	datum	NOUN
iassist-979	66	33	,	,	PUNCT
iassist-979	66	34	iassist	iassist	VERB
iassist-979	66	35	quarterly	quarterly	ADJ
iassist-979	66	36	44(4	44(4	NOUN
iassist-979	66	37	)	)	PUNCT
iassist-979	66	38	,	,	PUNCT
iassist-979	66	39	pp	pp	ADP
iassist-979	66	40	.	.	PUNCT
iassist-979	67	1	1	1	NUM
iassist-979	67	2	-	-	SYM
iassist-979	67	3	13	13	NUM
iassist-979	67	4	.	.	PUNCT
iassist-979	68	1	doi	doi	NOUN
iassist-979	68	2	:	:	PUNCT
iassist-979	68	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	68	4	manager	manager	NOUN
iassist-979	68	5	would	would	AUX
iassist-979	68	6	now	now	ADV
iassist-979	68	7	know	know	VERB
iassist-979	68	8	an	an	DET
iassist-979	68	9	attribute	attribute	NOUN
iassist-979	68	10	(	(	PUNCT
iassist-979	68	11	interest	interest	NOUN
iassist-979	68	12	in	in	ADP
iassist-979	68	13	joining	join	VERB
iassist-979	68	14	a	a	DET
iassist-979	68	15	union	union	NOUN
iassist-979	68	16	)	)	PUNCT
iassist-979	68	17	about	about	ADP
iassist-979	68	18	everyone	everyone	PRON
iassist-979	68	19	in	in	ADP
iassist-979	68	20	that	that	DET
iassist-979	68	21	equivalence	equivalence	NOUN
iassist-979	68	22	class	class	NOUN
iassist-979	68	23	.	.	PUNCT
iassist-979	69	1	k	k	X
iassist-979	69	2	-	-	PUNCT
iassist-979	69	3	anonymity	anonymity	NOUN
iassist-979	69	4	is	be	AUX
iassist-979	69	5	not	not	PART
iassist-979	69	6	sufficient	sufficient	ADJ
iassist-979	69	7	to	to	PART
iassist-979	69	8	prevent	prevent	VERB
iassist-979	69	9	attribute	attribute	NOUN
iassist-979	69	10	disclosure	disclosure	NOUN
iassist-979	69	11	.	.	PUNCT
iassist-979	70	1	respondents	respondent	NOUN
iassist-979	70	2	to	to	ADP
iassist-979	70	3	surveys	survey	NOUN
iassist-979	70	4	are	be	AUX
iassist-979	70	5	generally	generally	ADV
iassist-979	70	6	told	tell	VERB
iassist-979	70	7	that	that	SCONJ
iassist-979	70	8	their	their	PRON
iassist-979	70	9	responses	response	NOUN
iassist-979	70	10	will	will	AUX
iassist-979	70	11	be	be	AUX
iassist-979	70	12	kept	keep	VERB
iassist-979	70	13	confidential	confidential	ADJ
iassist-979	70	14	,	,	PUNCT
iassist-979	70	15	not	not	PART
iassist-979	70	16	merely	merely	ADV
iassist-979	70	17	that	that	SCONJ
iassist-979	70	18	no	no	DET
iassist-979	70	19	one	one	NOUN
iassist-979	70	20	will	will	AUX
iassist-979	70	21	know	know	VERB
iassist-979	70	22	which	which	DET
iassist-979	70	23	line	line	NOUN
iassist-979	70	24	of	of	ADP
iassist-979	70	25	data	datum	NOUN
iassist-979	70	26	contains	contain	VERB
iassist-979	70	27	their	their	PRON
iassist-979	70	28	specific	specific	ADJ
iassist-979	70	29	answers	answer	NOUN
iassist-979	70	30	;	;	PUNCT
iassist-979	70	31	a	a	DET
iassist-979	70	32	k	k	ADJ
iassist-979	70	33	-	-	ADJ
iassist-979	70	34	anonymous	anonymous	ADJ
iassist-979	70	35	dataset	dataset	NOUN
iassist-979	70	36	may	may	AUX
iassist-979	70	37	not	not	PART
iassist-979	70	38	fulfill	fulfill	VERB
iassist-979	70	39	that	that	DET
iassist-979	70	40	promise	promise	NOUN
iassist-979	70	41	.	.	PUNCT
iassist-979	71	1	variations	variation	NOUN
iassist-979	71	2	on	on	ADP
iassist-979	71	3	k	k	NOUN
iassist-979	71	4	-	-	NOUN
iassist-979	71	5	anonymity	anonymity	NOUN
iassist-979	71	6	,	,	PUNCT
iassist-979	71	7	such	such	ADJ
iassist-979	71	8	as	as	ADP
iassist-979	71	9	p	p	NOUN
iassist-979	71	10	-	-	PUNCT
iassist-979	71	11	anonymity	anonymity	NOUN
iassist-979	71	12	and	and	CCONJ
iassist-979	71	13	l	l	NOUN
iassist-979	71	14	-	-	NOUN
iassist-979	71	15	diversity	diversity	NOUN
iassist-979	71	16	,	,	PUNCT
iassist-979	71	17	have	have	AUX
iassist-979	71	18	been	be	AUX
iassist-979	71	19	developed	develop	VERB
iassist-979	71	20	in	in	ADP
iassist-979	71	21	an	an	DET
iassist-979	71	22	effort	effort	NOUN
iassist-979	71	23	to	to	PART
iassist-979	71	24	deal	deal	VERB
iassist-979	71	25	with	with	ADP
iassist-979	71	26	the	the	DET
iassist-979	71	27	attribute	attribute	NOUN
iassist-979	71	28	disclosure	disclosure	NOUN
iassist-979	71	29	issue	issue	NOUN
iassist-979	71	30	.	.	PUNCT
iassist-979	72	1	however	however	ADV
iassist-979	72	2	,	,	PUNCT
iassist-979	72	3	as	as	SCONJ
iassist-979	72	4	domingo	domingo	PROPN
iassist-979	72	5	-	-	PUNCT
iassist-979	72	6	ferrer	ferrer	PROPN
iassist-979	72	7	and	and	CCONJ
iassist-979	72	8	torra	torra	PROPN
iassist-979	72	9	(	(	PUNCT
iassist-979	72	10	2008	2008	NUM
iassist-979	72	11	)	)	PUNCT
iassist-979	72	12	note	note	NOUN
iassist-979	72	13	in	in	ADP
iassist-979	72	14	their	their	PRON
iassist-979	72	15	review	review	NOUN
iassist-979	72	16	of	of	ADP
iassist-979	72	17	k	k	NOUN
iassist-979	72	18	-	-	NOUN
iassist-979	72	19	anonymity	anonymity	NOUN
iassist-979	72	20	and	and	CCONJ
iassist-979	72	21	its	its	PRON
iassist-979	72	22	variants	variant	NOUN
iassist-979	72	23	,	,	PUNCT
iassist-979	72	24	‘	'	PUNCT
iassist-979	72	25	neither	neither	CCONJ
iassist-979	72	26	k	k	NOUN
iassist-979	72	27	-	-	NOUN
iassist-979	72	28	anonymity	anonymity	NOUN
iassist-979	72	29	nor	nor	CCONJ
iassist-979	72	30	its	its	PRON
iassist-979	72	31	enhancements	enhancement	NOUN
iassist-979	72	32	…	…	PUNCT
iassist-979	72	33	are	be	AUX
iassist-979	72	34	entirely	entirely	ADV
iassist-979	72	35	successful	successful	ADJ
iassist-979	72	36	in	in	ADP
iassist-979	72	37	ensuring	ensure	VERB
iassist-979	72	38	that	that	SCONJ
iassist-979	72	39	no	no	DET
iassist-979	72	40	privacy	privacy	NOUN
iassist-979	72	41	leakage	leakage	NOUN
iassist-979	72	42	occurs	occur	VERB
iassist-979	72	43	while	while	SCONJ
iassist-979	72	44	keeping	keep	VERB
iassist-979	72	45	a	a	DET
iassist-979	72	46	reasonable	reasonable	ADJ
iassist-979	72	47	data	data	NOUN
iassist-979	72	48	utility	utility	NOUN
iassist-979	72	49	level	level	NOUN
iassist-979	72	50	.	.	PUNCT
iassist-979	72	51	’	'	PUNCT
iassist-979	73	1	a	a	DET
iassist-979	73	2	brief	brief	ADJ
iassist-979	73	3	explanation	explanation	NOUN
iassist-979	73	4	of	of	ADP
iassist-979	73	5	one	one	NUM
iassist-979	73	6	of	of	ADP
iassist-979	73	7	the	the	DET
iassist-979	73	8	variants	variant	NOUN
iassist-979	73	9	of	of	ADP
iassist-979	73	10	l	l	NOUN
iassist-979	73	11	-	-	NOUN
iassist-979	73	12	diversity	diversity	NOUN
iassist-979	73	13	will	will	AUX
iassist-979	73	14	serve	serve	VERB
iassist-979	73	15	to	to	PART
iassist-979	73	16	illustrate	illustrate	VERB
iassist-979	73	17	this	this	DET
iassist-979	73	18	problem	problem	NOUN
iassist-979	73	19	.	.	PUNCT
iassist-979	74	1	a	a	DET
iassist-979	74	2	data	data	NOUN
iassist-979	74	3	set	set	NOUN
iassist-979	74	4	is	be	AUX
iassist-979	74	5	said	say	VERB
iassist-979	74	6	to	to	PART
iassist-979	74	7	satisfy	satisfy	VERB
iassist-979	74	8	distinct	distinct	ADJ
iassist-979	74	9	l	l	NOUN
iassist-979	74	10	-	-	NOUN
iassist-979	74	11	diversity	diversity	NOUN
iassist-979	74	12	if	if	SCONJ
iassist-979	74	13	,	,	PUNCT
iassist-979	74	14	for	for	ADP
iassist-979	74	15	each	each	DET
iassist-979	74	16	group	group	NOUN
iassist-979	74	17	of	of	ADP
iassist-979	74	18	records	record	NOUN
iassist-979	74	19	sharing	share	VERB
iassist-979	74	20	a	a	DET
iassist-979	74	21	combination	combination	NOUN
iassist-979	74	22	of	of	ADP
iassist-979	74	23	demographic	demographic	ADJ
iassist-979	74	24	attributes	attribute	NOUN
iassist-979	74	25	(	(	PUNCT
iassist-979	74	26	an	an	DET
iassist-979	74	27	equivalence	equivalence	NOUN
iassist-979	74	28	class	class	NOUN
iassist-979	74	29	)	)	PUNCT
iassist-979	74	30	,	,	PUNCT
iassist-979	74	31	there	there	PRON
iassist-979	74	32	are	be	VERB
iassist-979	74	33	at	at	ADP
iassist-979	74	34	least	least	ADJ
iassist-979	74	35	l	l	NOUN
iassist-979	74	36	different	different	ADJ
iassist-979	74	37	values	value	NOUN
iassist-979	74	38	for	for	ADP
iassist-979	74	39	each	each	DET
iassist-979	74	40	confidential	confidential	ADJ
iassist-979	74	41	variable	variable	NOUN
iassist-979	74	42	.	.	PUNCT
iassist-979	75	1	in	in	ADP
iassist-979	75	2	our	our	PRON
iassist-979	75	3	example	example	NOUN
iassist-979	75	4	workplace	workplace	NOUN
iassist-979	75	5	dataset	dataset	VERB
iassist-979	75	6	,	,	PUNCT
iassist-979	75	7	every	every	DET
iassist-979	75	8	group	group	NOUN
iassist-979	75	9	of	of	ADP
iassist-979	75	10	data	datum	NOUN
iassist-979	75	11	twins	twin	NOUN
iassist-979	75	12	would	would	AUX
iassist-979	75	13	need	need	VERB
iassist-979	75	14	to	to	PART
iassist-979	75	15	include	include	VERB
iassist-979	75	16	both	both	PRON
iassist-979	75	17	yes	yes	INTJ
iassist-979	75	18	and	and	CCONJ
iassist-979	75	19	no	no	DET
iassist-979	75	20	responses	response	NOUN
iassist-979	75	21	to	to	ADP
iassist-979	75	22	the	the	DET
iassist-979	75	23	union	union	NOUN
iassist-979	75	24	question	question	NOUN
iassist-979	75	25	.	.	PUNCT
iassist-979	76	1	however	however	ADV
iassist-979	76	2	,	,	PUNCT
iassist-979	76	3	the	the	DET
iassist-979	76	4	effort	effort	NOUN
iassist-979	76	5	needed	need	VERB
iassist-979	76	6	to	to	PART
iassist-979	76	7	check	check	VERB
iassist-979	76	8	for	for	ADP
iassist-979	76	9	and	and	CCONJ
iassist-979	76	10	recode	recode	VERB
iassist-979	76	11	to	to	PART
iassist-979	76	12	ensure	ensure	VERB
iassist-979	76	13	this	this	PRON
iassist-979	76	14	by	by	ADP
iassist-979	76	15	hand	hand	NOUN
iassist-979	76	16	,	,	PUNCT
iassist-979	76	17	assuming	assume	VERB
iassist-979	76	18	that	that	SCONJ
iassist-979	76	19	,	,	PUNCT
iassist-979	76	20	as	as	ADP
iassist-979	76	21	in	in	ADP
iassist-979	76	22	many	many	ADJ
iassist-979	76	23	datasets	dataset	NOUN
iassist-979	76	24	,	,	PUNCT
iassist-979	76	25	there	there	PRON
iassist-979	76	26	are	be	VERB
iassist-979	76	27	dozens	dozen	NOUN
iassist-979	76	28	of	of	ADP
iassist-979	76	29	responses	response	NOUN
iassist-979	76	30	that	that	PRON
iassist-979	76	31	need	need	VERB
iassist-979	76	32	to	to	PART
iassist-979	76	33	be	be	AUX
iassist-979	76	34	kept	keep	VERB
iassist-979	76	35	confidential	confidential	ADJ
iassist-979	76	36	,	,	PUNCT
iassist-979	76	37	is	be	AUX
iassist-979	76	38	daunting	daunt	VERB
iassist-979	76	39	.	.	PUNCT
iassist-979	77	1	in	in	ADP
iassist-979	77	2	addition	addition	NOUN
iassist-979	77	3	,	,	PUNCT
iassist-979	77	4	one	one	PRON
iassist-979	77	5	can	can	AUX
iassist-979	77	6	easily	easily	ADV
iassist-979	77	7	imagine	imagine	VERB
iassist-979	77	8	a	a	DET
iassist-979	77	9	scenario	scenario	NOUN
iassist-979	77	10	where	where	SCONJ
iassist-979	77	11	nearly	nearly	ADV
iassist-979	77	12	every	every	PRON
iassist-979	77	13	attribute	attribute	NOUN
iassist-979	77	14	needed	need	VERB
iassist-979	77	15	to	to	PART
iassist-979	77	16	be	be	AUX
iassist-979	77	17	manipulated	manipulate	VERB
iassist-979	77	18	,	,	PUNCT
iassist-979	77	19	grouped	group	VERB
iassist-979	77	20	or	or	CCONJ
iassist-979	77	21	partially	partially	ADV
iassist-979	77	22	suppressed	suppress	VERB
iassist-979	77	23	in	in	ADP
iassist-979	77	24	some	some	DET
iassist-979	77	25	way	way	NOUN
iassist-979	77	26	,	,	PUNCT
iassist-979	77	27	or	or	CCONJ
iassist-979	77	28	alternatively	alternatively	ADV
iassist-979	77	29	every	every	DET
iassist-979	77	30	equivalence	equivalence	NOUN
iassist-979	77	31	class	class	NOUN
iassist-979	77	32	needed	need	VERB
iassist-979	77	33	to	to	PART
iassist-979	77	34	be	be	AUX
iassist-979	77	35	enlarged	enlarge	VERB
iassist-979	77	36	.	.	PUNCT
iassist-979	78	1	as	as	SCONJ
iassist-979	78	2	we	we	PRON
iassist-979	78	3	will	will	AUX
iassist-979	78	4	see	see	VERB
iassist-979	78	5	later	later	ADV
iassist-979	78	6	in	in	ADP
iassist-979	78	7	this	this	DET
iassist-979	78	8	paper	paper	NOUN
iassist-979	78	9	,	,	PUNCT
iassist-979	78	10	a	a	DET
iassist-979	78	11	relatively	relatively	ADV
iassist-979	78	12	small	small	ADJ
iassist-979	78	13	set	set	NOUN
iassist-979	78	14	of	of	ADP
iassist-979	78	15	quasi	quasi	ADJ
iassist-979	78	16	-	-	ADJ
iassist-979	78	17	identifying	identifying	ADJ
iassist-979	78	18	variables	variable	NOUN
iassist-979	78	19	can	can	AUX
iassist-979	78	20	easily	easily	ADV
iassist-979	78	21	lead	lead	VERB
iassist-979	78	22	to	to	ADP
iassist-979	78	23	a	a	DET
iassist-979	78	24	very	very	ADV
iassist-979	78	25	large	large	ADJ
iassist-979	78	26	number	number	NOUN
iassist-979	78	27	of	of	ADP
iassist-979	78	28	potential	potential	ADJ
iassist-979	78	29	equivalence	equivalence	NOUN
iassist-979	78	30	classes	class	NOUN
iassist-979	78	31	in	in	ADP
iassist-979	78	32	a	a	DET
iassist-979	78	33	dataset	dataset	NOUN
iassist-979	78	34	.	.	PUNCT
iassist-979	79	1	multiply	multiply	VERB
iassist-979	79	2	that	that	DET
iassist-979	79	3	number	number	NOUN
iassist-979	79	4	by	by	ADP
iassist-979	79	5	the	the	DET
iassist-979	79	6	set	set	NOUN
iassist-979	79	7	of	of	ADP
iassist-979	79	8	attribute	attribute	NOUN
iassist-979	79	9	responses	response	NOUN
iassist-979	79	10	that	that	PRON
iassist-979	79	11	would	would	AUX
iassist-979	79	12	need	need	VERB
iassist-979	79	13	to	to	PART
iassist-979	79	14	be	be	AUX
iassist-979	79	15	considered	consider	VERB
iassist-979	79	16	and	and	CCONJ
iassist-979	79	17	you	you	PRON
iassist-979	79	18	will	will	AUX
iassist-979	79	19	have	have	VERB
iassist-979	79	20	a	a	DET
iassist-979	79	21	sense	sense	NOUN
iassist-979	79	22	of	of	ADP
iassist-979	79	23	the	the	DET
iassist-979	79	24	scope	scope	NOUN
iassist-979	79	25	of	of	ADP
iassist-979	79	26	the	the	DET
iassist-979	79	27	problem	problem	NOUN
iassist-979	79	28	.	.	PUNCT
iassist-979	80	1	at	at	ADP
iassist-979	80	2	the	the	DET
iassist-979	80	3	end	end	NOUN
iassist-979	80	4	of	of	ADP
iassist-979	80	5	all	all	DET
iassist-979	80	6	that	that	DET
iassist-979	80	7	manipulation	manipulation	NOUN
iassist-979	80	8	,	,	PUNCT
iassist-979	80	9	the	the	DET
iassist-979	80	10	resulting	result	VERB
iassist-979	80	11	dataset	dataset	NOUN
iassist-979	80	12	would	would	AUX
iassist-979	80	13	probably	probably	ADV
iassist-979	80	14	have	have	VERB
iassist-979	80	15	very	very	ADV
iassist-979	80	16	limited	limited	ADJ
iassist-979	80	17	analytic	analytic	ADJ
iassist-979	80	18	value	value	NOUN
iassist-979	80	19	.	.	PUNCT
iassist-979	81	1	the	the	DET
iassist-979	81	2	manipulation	manipulation	NOUN
iassist-979	81	3	would	would	AUX
iassist-979	81	4	have	have	VERB
iassist-979	81	5	the	the	DET
iassist-979	81	6	result	result	NOUN
iassist-979	81	7	of	of	ADP
iassist-979	81	8	destroying	destroy	VERB
iassist-979	81	9	close	close	ADJ
iassist-979	81	10	relationships	relationship	NOUN
iassist-979	81	11	between	between	ADP
iassist-979	81	12	the	the	DET
iassist-979	81	13	quasi	quasi	NOUN
iassist-979	81	14	-	-	ADJ
iassist-979	81	15	identifying	identify	VERB
iassist-979	81	16	demographic	demographic	ADJ
iassist-979	81	17	variables	variable	NOUN
iassist-979	81	18	and	and	CCONJ
iassist-979	81	19	the	the	DET
iassist-979	81	20	remaining	remain	VERB
iassist-979	81	21	variables	variable	NOUN
iassist-979	81	22	in	in	ADP
iassist-979	81	23	the	the	DET
iassist-979	81	24	dataset	dataset	NOUN
iassist-979	81	25	and	and	CCONJ
iassist-979	81	26	determining	determine	VERB
iassist-979	81	27	accurately	accurately	ADV
iassist-979	81	28	the	the	DET
iassist-979	81	29	correlation	correlation	NOUN
iassist-979	81	30	between	between	ADP
iassist-979	81	31	demographic	demographic	ADJ
iassist-979	81	32	variables	variable	NOUN
iassist-979	81	33	and	and	CCONJ
iassist-979	81	34	attributes	attribute	NOUN
iassist-979	81	35	is	be	AUX
iassist-979	81	36	a	a	DET
iassist-979	81	37	key	key	ADJ
iassist-979	81	38	part	part	NOUN
iassist-979	81	39	of	of	ADP
iassist-979	81	40	research	research	NOUN
iassist-979	81	41	.	.	PUNCT
iassist-979	82	1	k	k	X
iassist-979	82	2	-	-	PUNCT
iassist-979	82	3	anonymity	anonymity	NOUN
iassist-979	82	4	is	be	AUX
iassist-979	82	5	not	not	PART
iassist-979	82	6	always	always	ADV
iassist-979	82	7	necessary	necessary	ADJ
iassist-979	82	8	until	until	SCONJ
iassist-979	82	9	now	now	ADV
iassist-979	82	10	we	we	PRON
iassist-979	82	11	have	have	AUX
iassist-979	82	12	been	be	AUX
iassist-979	82	13	considering	consider	VERB
iassist-979	82	14	an	an	DET
iassist-979	82	15	example	example	NOUN
iassist-979	82	16	dataset	dataset	NOUN
iassist-979	82	17	which	which	PRON
iassist-979	82	18	surveys	survey	VERB
iassist-979	82	19	an	an	DET
iassist-979	82	20	entire	entire	ADJ
iassist-979	82	21	population	population	NOUN
iassist-979	82	22	a	a	DET
iassist-979	82	23	set	set	NOUN
iassist-979	82	24	of	of	ADP
iassist-979	82	25	workers	worker	NOUN
iassist-979	82	26	at	at	ADP
iassist-979	82	27	a	a	DET
iassist-979	82	28	particular	particular	ADJ
iassist-979	82	29	place	place	NOUN
iassist-979	82	30	of	of	ADP
iassist-979	82	31	employment	employment	NOUN
iassist-979	82	32	.	.	PUNCT
iassist-979	83	1	it	it	PRON
iassist-979	83	2	is	be	AUX
iassist-979	83	3	very	very	ADV
iassist-979	83	4	difficult	difficult	ADJ
iassist-979	83	5	to	to	PART
iassist-979	83	6	ensure	ensure	VERB
iassist-979	83	7	confidentiality	confidentiality	NOUN
iassist-979	83	8	of	of	ADP
iassist-979	83	9	responses	response	NOUN
iassist-979	83	10	in	in	ADP
iassist-979	83	11	datasets	dataset	NOUN
iassist-979	83	12	of	of	ADP
iassist-979	83	13	this	this	DET
iassist-979	83	14	nature	nature	NOUN
iassist-979	83	15	.	.	PUNCT
iassist-979	84	1	however	however	ADV
iassist-979	84	2	,	,	PUNCT
iassist-979	84	3	many	many	ADJ
iassist-979	84	4	datasets	dataset	NOUN
iassist-979	84	5	do	do	AUX
iassist-979	84	6	not	not	PART
iassist-979	84	7	survey	survey	VERB
iassist-979	84	8	entire	entire	ADJ
iassist-979	84	9	populations	population	NOUN
iassist-979	84	10	but	but	CCONJ
iassist-979	84	11	are	be	AUX
iassist-979	84	12	instead	instead	ADV
iassist-979	84	13	sample	sample	NOUN
iassist-979	84	14	surveys	survey	NOUN
iassist-979	84	15	.	.	PUNCT
iassist-979	85	1	imagine	imagine	VERB
iassist-979	85	2	that	that	SCONJ
iassist-979	85	3	only	only	ADV
iassist-979	85	4	one	one	NUM
iassist-979	85	5	in	in	ADP
iassist-979	85	6	10	10	NUM
iassist-979	85	7	of	of	ADP
iassist-979	85	8	the	the	DET
iassist-979	85	9	workers	worker	NOUN
iassist-979	85	10	were	be	AUX
iassist-979	85	11	surveyed	survey	VERB
iassist-979	85	12	.	.	PUNCT
iassist-979	86	1	even	even	ADV
iassist-979	86	2	if	if	SCONJ
iassist-979	86	3	a	a	DET
iassist-979	86	4	worker	worker	NOUN
iassist-979	86	5	belonged	belong	VERB
iassist-979	86	6	to	to	ADP
iassist-979	86	7	an	an	DET
iassist-979	86	8	equivalence	equivalence	NOUN
iassist-979	86	9	class	class	NOUN
iassist-979	86	10	of	of	ADP
iassist-979	86	11	one	one	NUM
iassist-979	86	12	,	,	PUNCT
iassist-979	86	13	it	it	PRON
iassist-979	86	14	would	would	AUX
iassist-979	86	15	not	not	PART
iassist-979	86	16	be	be	AUX
iassist-979	86	17	clear	clear	ADJ
iassist-979	86	18	from	from	ADP
iassist-979	86	19	the	the	DET
iassist-979	86	20	dataset	dataset	NOUN
iassist-979	86	21	whether	whether	SCONJ
iassist-979	86	22	that	that	DET
iassist-979	86	23	worker	worker	NOUN
iassist-979	86	24	might	might	AUX
iassist-979	86	25	have	have	VERB
iassist-979	86	26	‘	'	PUNCT
iassist-979	86	27	data	datum	NOUN
iassist-979	86	28	twins	twin	NOUN
iassist-979	86	29	’	'	PUNCT
iassist-979	86	30	outside	outside	ADP
iassist-979	86	31	the	the	DET
iassist-979	86	32	dataset	dataset	NOUN
iassist-979	86	33	a	a	DET
iassist-979	86	34	sample	sample	NOUN
iassist-979	86	35	unique	unique	ADJ
iassist-979	86	36	might	might	NOUN
iassist-979	86	37	or	or	CCONJ
iassist-979	86	38	might	might	AUX
iassist-979	86	39	not	not	PART
iassist-979	86	40	be	be	AUX
iassist-979	86	41	a	a	DET
iassist-979	86	42	population	population	NOUN
iassist-979	86	43	unique	unique	ADJ
iassist-979	86	44	,	,	PUNCT
iassist-979	86	45	although	although	SCONJ
iassist-979	86	46	someone	someone	PRON
iassist-979	86	47	with	with	ADP
iassist-979	86	48	perfect	perfect	ADJ
iassist-979	86	49	knowledge	knowledge	NOUN
iassist-979	86	50	of	of	ADP
iassist-979	86	51	the	the	DET
iassist-979	86	52	population	population	NOUN
iassist-979	86	53	being	be	AUX
iassist-979	86	54	sampled	sample	VERB
iassist-979	86	55	might	might	AUX
iassist-979	86	56	still	still	ADV
iassist-979	86	57	be	be	AUX
iassist-979	86	58	able	able	ADJ
iassist-979	86	59	to	to	PART
iassist-979	86	60	determine	determine	VERB
iassist-979	86	61	that	that	DET
iassist-979	86	62	individual	individual	NOUN
iassist-979	86	63	’s	’s	PART
iassist-979	86	64	identity	identity	NOUN
iassist-979	86	65	in	in	ADP
iassist-979	86	66	the	the	DET
iassist-979	86	67	case	case	NOUN
iassist-979	86	68	that	that	SCONJ
iassist-979	86	69	they	they	PRON
iassist-979	86	70	were	be	AUX
iassist-979	86	71	a	a	DET
iassist-979	86	72	true	true	ADJ
iassist-979	86	73	population	population	NOUN
iassist-979	86	74	unique	unique	ADJ
iassist-979	86	75	.	.	PUNCT
iassist-979	87	1	sampling	sample	VERB
iassist-979	87	2	can	can	AUX
iassist-979	87	3	also	also	ADV
iassist-979	87	4	protect	protect	VERB
iassist-979	87	5	against	against	ADP
iassist-979	87	6	attribute	attribute	NOUN
iassist-979	87	7	disclosure	disclosure	NOUN
iassist-979	87	8	,	,	PUNCT
iassist-979	87	9	since	since	SCONJ
iassist-979	87	10	members	member	NOUN
iassist-979	87	11	of	of	ADP
iassist-979	87	12	an	an	DET
iassist-979	87	13	equivalence	equivalence	NOUN
iassist-979	87	14	class	class	NOUN
iassist-979	87	15	are	be	AUX
iassist-979	87	16	likely	likely	ADJ
iassist-979	87	17	to	to	PART
iassist-979	87	18	have	have	VERB
iassist-979	87	19	data	data	NOUN
iassist-979	87	20	twins	twin	NOUN
iassist-979	87	21	outside	outside	ADP
iassist-979	87	22	the	the	DET
iassist-979	87	23	dataset	dataset	NOUN
iassist-979	87	24	whose	whose	DET
iassist-979	87	25	potential	potential	ADJ
iassist-979	87	26	responses	response	NOUN
iassist-979	87	27	to	to	ADP
iassist-979	87	28	confidential	confidential	ADJ
iassist-979	87	29	questions	question	NOUN
iassist-979	87	30	are	be	AUX
iassist-979	87	31	unknown	unknown	ADJ
iassist-979	87	32	.	.	PUNCT
iassist-979	88	1	according	accord	VERB
iassist-979	88	2	to	to	ADP
iassist-979	88	3	eliot	eliot	PROPN
iassist-979	88	4	,	,	PUNCT
iassist-979	88	5	mckay	mckay	PROPN
iassist-979	88	6	et	et	PROPN
iassist-979	88	7	al	al	PROPN
iassist-979	88	8	(	(	PUNCT
iassist-979	88	9	2015	2015	NUM
iassist-979	88	10	)	)	PUNCT
iassist-979	88	11	,	,	PUNCT
iassist-979	88	12	‘	'	PUNCT
iassist-979	88	13	sampling	sample	VERB
iassist-979	88	14	is	be	AUX
iassist-979	88	15	one	one	NUM
iassist-979	88	16	of	of	ADP
iassist-979	88	17	the	the	DET
iassist-979	88	18	most	most	ADV
iassist-979	88	19	powerful	powerful	ADJ
iassist-979	88	20	tools	tool	NOUN
iassist-979	88	21	in	in	ADP
iassist-979	88	22	the	the	DET
iassist-979	88	23	toolbox	toolbox	NOUN
iassist-979	88	24	.	.	PUNCT
iassist-979	89	1	the	the	DET
iassist-979	89	2	key	key	ADJ
iassist-979	89	3	point	point	NOUN
iassist-979	89	4	is	be	AUX
iassist-979	89	5	that	that	SCONJ
iassist-979	89	6	it	it	PRON
iassist-979	89	7	creates	create	VERB
iassist-979	89	8	uncertainty	uncertainty	NOUN
iassist-979	89	9	that	that	SCONJ
iassist-979	89	10	any	any	DET
iassist-979	89	11	given	give	VERB
iassist-979	89	12	population	population	NOUN
iassist-979	89	13	unit	unit	NOUN
iassist-979	89	14	is	be	AUX
iassist-979	89	15	even	even	ADV
iassist-979	89	16	in	in	ADP
iassist-979	89	17	the	the	DET
iassist-979	89	18	data	datum	NOUN
iassist-979	89	19	at	at	ADV
iassist-979	89	20	all	all	ADV
iassist-979	89	21	.	.	PUNCT
iassist-979	89	22	’	'	PUNCT
iassist-979	90	1	the	the	PRON
iassist-979	90	2	larger	large	ADJ
iassist-979	90	3	the	the	DET
iassist-979	90	4	population	population	NOUN
iassist-979	90	5	from	from	ADP
iassist-979	90	6	which	which	PRON
iassist-979	90	7	a	a	DET
iassist-979	90	8	sample	sample	NOUN
iassist-979	90	9	is	be	AUX
iassist-979	90	10	drawn	draw	VERB
iassist-979	90	11	,	,	PUNCT
iassist-979	90	12	the	the	PRON
iassist-979	90	13	less	less	ADV
iassist-979	90	14	likely	likely	ADJ
iassist-979	90	15	an	an	DET
iassist-979	90	16	intruder	intruder	NOUN
iassist-979	90	17	is	be	AUX
iassist-979	90	18	to	to	PART
iassist-979	90	19	have	have	VERB
iassist-979	90	20	perfect	perfect	ADJ
iassist-979	90	21	knowledge	knowledge	NOUN
iassist-979	90	22	of	of	ADP
iassist-979	90	23	the	the	DET
iassist-979	90	24	population	population	NOUN
iassist-979	90	25	,	,	PUNCT
iassist-979	90	26	and	and	CCONJ
iassist-979	90	27	the	the	DET
iassist-979	90	28	less	less	ADV
iassist-979	90	29	likely	likely	ADJ
iassist-979	90	30	it	it	PRON
iassist-979	90	31	is	be	AUX
iassist-979	90	32	that	that	SCONJ
iassist-979	90	33	a	a	DET
iassist-979	90	34	sample	sample	NOUN
iassist-979	90	35	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	90	36	5/13	5/13	NUM
iassist-979	90	37	thompson	thompson	PROPN
iassist-979	90	38	,	,	PUNCT
iassist-979	90	39	kristi	kristi	PROPN
iassist-979	90	40	and	and	CCONJ
iassist-979	90	41	sullivan	sullivan	PROPN
iassist-979	90	42	,	,	PUNCT
iassist-979	90	43	carolyn	carolyn	PROPN
iassist-979	90	44	(	(	PUNCT
iassist-979	90	45	2020	2020	NUM
iassist-979	90	46	)	)	PUNCT
iassist-979	90	47	mathematics	mathematic	NOUN
iassist-979	90	48	,	,	PUNCT
iassist-979	90	49	risk	risk	NOUN
iassist-979	90	50	,	,	PUNCT
iassist-979	90	51	and	and	CCONJ
iassist-979	90	52	messy	messy	ADJ
iassist-979	90	53	survey	survey	NOUN
iassist-979	90	54	data	datum	NOUN
iassist-979	90	55	,	,	PUNCT
iassist-979	90	56	iassist	iassist	VERB
iassist-979	90	57	quarterly	quarterly	ADJ
iassist-979	90	58	44(4	44(4	NOUN
iassist-979	90	59	)	)	PUNCT
iassist-979	90	60	,	,	PUNCT
iassist-979	91	1	pp	pp	ADP
iassist-979	91	2	.	.	PUNCT
iassist-979	92	1	1	1	NUM
iassist-979	92	2	-	-	SYM
iassist-979	92	3	13	13	NUM
iassist-979	92	4	.	.	PUNCT
iassist-979	93	1	doi	doi	NOUN
iassist-979	93	2	:	:	PUNCT
iassist-979	93	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	93	4	unique	unique	ADJ
iassist-979	93	5	will	will	AUX
iassist-979	93	6	also	also	ADV
iassist-979	93	7	be	be	AUX
iassist-979	93	8	a	a	DET
iassist-979	93	9	population	population	NOUN
iassist-979	93	10	unique	unique	ADJ
iassist-979	93	11	.	.	PUNCT
iassist-979	94	1	we	we	PRON
iassist-979	94	2	argue	argue	VERB
iassist-979	94	3	that	that	SCONJ
iassist-979	94	4	attribute	attribute	NOUN
iassist-979	94	5	disclosure	disclosure	NOUN
iassist-979	94	6	in	in	ADP
iassist-979	94	7	the	the	DET
iassist-979	94	8	absence	absence	NOUN
iassist-979	94	9	of	of	ADP
iassist-979	94	10	identity	identity	NOUN
iassist-979	94	11	disclosure	disclosure	NOUN
iassist-979	94	12	is	be	AUX
iassist-979	94	13	not	not	PART
iassist-979	94	14	a	a	DET
iassist-979	94	15	genuine	genuine	ADJ
iassist-979	94	16	concern	concern	NOUN
iassist-979	94	17	in	in	ADP
iassist-979	94	18	the	the	DET
iassist-979	94	19	case	case	NOUN
iassist-979	94	20	of	of	ADP
iassist-979	94	21	a	a	DET
iassist-979	94	22	sample	sample	NOUN
iassist-979	94	23	being	be	AUX
iassist-979	94	24	drawn	draw	VERB
iassist-979	94	25	from	from	ADP
iassist-979	94	26	a	a	DET
iassist-979	94	27	large	large	ADJ
iassist-979	94	28	population	population	NOUN
iassist-979	94	29	.	.	PUNCT
iassist-979	95	1	if	if	SCONJ
iassist-979	95	2	an	an	DET
iassist-979	95	3	equivalence	equivalence	NOUN
iassist-979	95	4	class	class	NOUN
iassist-979	95	5	in	in	ADP
iassist-979	95	6	the	the	DET
iassist-979	95	7	dataset	dataset	NOUN
iassist-979	95	8	can	can	AUX
iassist-979	95	9	be	be	AUX
iassist-979	95	10	assumed	assume	VERB
iassist-979	95	11	to	to	PART
iassist-979	95	12	have	have	VERB
iassist-979	95	13	many	many	ADJ
iassist-979	95	14	co	co	NOUN
iassist-979	95	15	-	-	NOUN
iassist-979	95	16	equivalents	equivalent	NOUN
iassist-979	95	17	in	in	ADP
iassist-979	95	18	the	the	DET
iassist-979	95	19	general	general	ADJ
iassist-979	95	20	population	population	NOUN
iassist-979	95	21	being	be	AUX
iassist-979	95	22	sampled	sample	VERB
iassist-979	95	23	whose	whose	DET
iassist-979	95	24	non	non	ADJ
iassist-979	95	25	-	-	ADJ
iassist-979	95	26	identifying	identifying	ADJ
iassist-979	95	27	attributes	attribute	NOUN
iassist-979	95	28	or	or	CCONJ
iassist-979	95	29	opinions	opinion	NOUN
iassist-979	95	30	are	be	AUX
iassist-979	95	31	unknown	unknown	ADJ
iassist-979	95	32	,	,	PUNCT
iassist-979	95	33	then	then	ADV
iassist-979	95	34	membership	membership	NOUN
iassist-979	95	35	in	in	ADP
iassist-979	95	36	an	an	DET
iassist-979	95	37	equivalence	equivalence	NOUN
iassist-979	95	38	class	class	NOUN
iassist-979	95	39	can	can	AUX
iassist-979	95	40	not	not	PART
iassist-979	95	41	be	be	AUX
iassist-979	95	42	said	say	VERB
iassist-979	95	43	to	to	PART
iassist-979	95	44	reveal	reveal	VERB
iassist-979	95	45	confidential	confidential	ADJ
iassist-979	95	46	attributes	attribute	NOUN
iassist-979	95	47	or	or	CCONJ
iassist-979	95	48	opinions2	opinions2	NOUN
iassist-979	95	49	.	.	PUNCT
iassist-979	96	1	national	national	ADJ
iassist-979	96	2	anti	anti	ADJ
iassist-979	96	3	-	-	ADJ
iassist-979	96	4	drug	drug	ADJ
iassist-979	96	5	strategy	strategy	NOUN
iassist-979	96	6	survey	survey	VERB
iassist-979	96	7	the	the	DET
iassist-979	96	8	national	national	ADJ
iassist-979	96	9	anti	anti	ADJ
iassist-979	96	10	-	-	ADJ
iassist-979	96	11	drug	drug	ADJ
iassist-979	96	12	strategy	strategy	NOUN
iassist-979	96	13	(	(	PUNCT
iassist-979	96	14	nads	nad	NOUN
iassist-979	96	15	)	)	PUNCT
iassist-979	96	16	survey	survey	NOUN
iassist-979	96	17	series	series	NOUN
iassist-979	96	18	is	be	AUX
iassist-979	96	19	a	a	DET
iassist-979	96	20	series	series	NOUN
iassist-979	96	21	of	of	ADP
iassist-979	96	22	surveys	survey	NOUN
iassist-979	96	23	conducted	conduct	VERB
iassist-979	96	24	by	by	ADP
iassist-979	96	25	the	the	DET
iassist-979	96	26	environics	environic	NOUN
iassist-979	96	27	research	research	NOUN
iassist-979	96	28	group	group	NOUN
iassist-979	96	29	on	on	ADP
iassist-979	96	30	behalf	behalf	NOUN
iassist-979	96	31	of	of	ADP
iassist-979	96	32	the	the	DET
iassist-979	96	33	government	government	NOUN
iassist-979	96	34	of	of	ADP
iassist-979	96	35	canada	canada	PROPN
iassist-979	96	36	during	during	ADP
iassist-979	96	37	the	the	DET
iassist-979	96	38	years	year	NOUN
iassist-979	96	39	2008	2008	NUM
iassist-979	96	40	–	–	PUNCT
iassist-979	96	41	2012	2012	NUM
iassist-979	96	42	(	(	PUNCT
iassist-979	96	43	environics	environic	NOUN
iassist-979	96	44	research	research	NOUN
iassist-979	96	45	group	group	NOUN
iassist-979	96	46	,	,	PUNCT
iassist-979	96	47	2012	2012	NUM
iassist-979	96	48	)	)	PUNCT
iassist-979	96	49	.	.	PUNCT
iassist-979	97	1	an	an	DET
iassist-979	97	2	initial	initial	ADJ
iassist-979	97	3	baseline	baseline	NOUN
iassist-979	97	4	survey	survey	NOUN
iassist-979	97	5	assessed	assess	VERB
iassist-979	97	6	the	the	DET
iassist-979	97	7	behaviours	behaviour	NOUN
iassist-979	97	8	and	and	CCONJ
iassist-979	97	9	attitudes	attitude	NOUN
iassist-979	97	10	of	of	ADP
iassist-979	97	11	teens	teen	NOUN
iassist-979	97	12	aged	age	VERB
iassist-979	97	13	13	13	NUM
iassist-979	97	14	-	-	SYM
iassist-979	97	15	15	15	NUM
iassist-979	97	16	years	year	NOUN
iassist-979	97	17	towards	towards	ADP
iassist-979	97	18	drug	drug	NOUN
iassist-979	97	19	use	use	NOUN
iassist-979	97	20	through	through	ADP
iassist-979	97	21	responses	response	NOUN
iassist-979	97	22	collected	collect	VERB
iassist-979	97	23	from	from	ADP
iassist-979	97	24	both	both	DET
iassist-979	97	25	teens	teen	NOUN
iassist-979	97	26	and	and	CCONJ
iassist-979	97	27	parents	parent	NOUN
iassist-979	97	28	of	of	ADP
iassist-979	97	29	teens	teen	NOUN
iassist-979	97	30	.	.	PUNCT
iassist-979	98	1	after	after	SCONJ
iassist-979	98	2	this	this	DET
iassist-979	98	3	baseline	baseline	PROPN
iassist-979	98	4	data	datum	NOUN
iassist-979	98	5	was	be	AUX
iassist-979	98	6	collected	collect	VERB
iassist-979	98	7	,	,	PUNCT
iassist-979	98	8	health	health	PROPN
iassist-979	98	9	canada	canada	PROPN
iassist-979	98	10	launched	launch	VERB
iassist-979	98	11	an	an	DET
iassist-979	98	12	anti	anti	ADJ
iassist-979	98	13	-	-	ADJ
iassist-979	98	14	drug	drug	ADJ
iassist-979	98	15	media	medium	NOUN
iassist-979	98	16	campaign	campaign	NOUN
iassist-979	98	17	.	.	PUNCT
iassist-979	99	1	subsequent	subsequent	ADJ
iassist-979	99	2	surveys	survey	NOUN
iassist-979	99	3	followed	follow	VERB
iassist-979	99	4	a	a	DET
iassist-979	99	5	large	large	ADJ
iassist-979	99	6	proportion	proportion	NOUN
iassist-979	99	7	of	of	ADP
iassist-979	99	8	the	the	DET
iassist-979	99	9	original	original	ADJ
iassist-979	99	10	respondents	respondent	NOUN
iassist-979	99	11	as	as	ADV
iassist-979	99	12	well	well	ADV
iassist-979	99	13	as	as	ADP
iassist-979	99	14	new	new	ADJ
iassist-979	99	15	participants	participant	NOUN
iassist-979	99	16	to	to	PART
iassist-979	99	17	gauge	gauge	VERB
iassist-979	99	18	the	the	DET
iassist-979	99	19	potential	potential	ADJ
iassist-979	99	20	impact	impact	NOUN
iassist-979	99	21	of	of	ADP
iassist-979	99	22	different	different	ADJ
iassist-979	99	23	aspects	aspect	NOUN
iassist-979	99	24	of	of	ADP
iassist-979	99	25	the	the	DET
iassist-979	99	26	campaign	campaign	NOUN
iassist-979	99	27	.	.	PUNCT
iassist-979	100	1	in	in	ADP
iassist-979	100	2	this	this	DET
iassist-979	100	3	paper	paper	NOUN
iassist-979	100	4	we	we	PRON
iassist-979	100	5	are	be	AUX
iassist-979	100	6	concerned	concern	VERB
iassist-979	100	7	with	with	ADP
iassist-979	100	8	deidentification	deidentification	NOUN
iassist-979	100	9	of	of	ADP
iassist-979	100	10	the	the	DET
iassist-979	100	11	baseline	baseline	NOUN
iassist-979	100	12	survey	survey	NOUN
iassist-979	100	13	,	,	PUNCT
iassist-979	100	14	which	which	PRON
iassist-979	100	15	had	have	VERB
iassist-979	100	16	1502	1502	NUM
iassist-979	100	17	respondents	respondent	NOUN
iassist-979	100	18	.	.	PUNCT
iassist-979	101	1	this	this	DET
iassist-979	101	2	dataset	dataset	NOUN
iassist-979	101	3	is	be	AUX
iassist-979	101	4	highly	highly	ADV
iassist-979	101	5	sensitive	sensitive	ADJ
iassist-979	101	6	;	;	PUNCT
iassist-979	101	7	not	not	PART
iassist-979	101	8	due	due	ADP
iassist-979	101	9	to	to	ADP
iassist-979	101	10	the	the	DET
iassist-979	101	11	population	population	NOUN
iassist-979	101	12	under	under	ADP
iassist-979	101	13	examination	examination	NOUN
iassist-979	101	14	(	(	PUNCT
iassist-979	101	15	this	this	PRON
iassist-979	101	16	is	be	AUX
iassist-979	101	17	a	a	DET
iassist-979	101	18	survey	survey	NOUN
iassist-979	101	19	of	of	ADP
iassist-979	101	20	the	the	DET
iassist-979	101	21	general	general	ADJ
iassist-979	101	22	population	population	NOUN
iassist-979	101	23	,	,	PUNCT
iassist-979	101	24	and	and	CCONJ
iassist-979	101	25	while	while	SCONJ
iassist-979	101	26	respondents	respondent	NOUN
iassist-979	101	27	were	be	AUX
iassist-979	101	28	adolescents	adolescent	NOUN
iassist-979	101	29	at	at	ADP
iassist-979	101	30	the	the	DET
iassist-979	101	31	time	time	NOUN
iassist-979	101	32	,	,	PUNCT
iassist-979	101	33	all	all	DET
iassist-979	101	34	participants	participant	NOUN
iassist-979	101	35	are	be	AUX
iassist-979	101	36	now	now	ADV
iassist-979	101	37	adults	adult	NOUN
iassist-979	101	38	)	)	PUNCT
iassist-979	101	39	,	,	PUNCT
iassist-979	101	40	but	but	CCONJ
iassist-979	101	41	due	due	ADP
iassist-979	101	42	to	to	ADP
iassist-979	101	43	the	the	DET
iassist-979	101	44	subject	subject	NOUN
iassist-979	101	45	.	.	PUNCT
iassist-979	102	1	survey	survey	NOUN
iassist-979	102	2	responses	response	NOUN
iassist-979	102	3	that	that	PRON
iassist-979	102	4	confirmed	confirm	VERB
iassist-979	102	5	acquisition	acquisition	NOUN
iassist-979	102	6	and	and	CCONJ
iassist-979	102	7	use	use	NOUN
iassist-979	102	8	of	of	ADP
iassist-979	102	9	illegal	illegal	ADJ
iassist-979	102	10	drugs	drug	NOUN
iassist-979	102	11	by	by	ADP
iassist-979	102	12	participants	participant	NOUN
iassist-979	102	13	and	and	CCONJ
iassist-979	102	14	related	relate	VERB
iassist-979	102	15	to	to	ADP
iassist-979	102	16	their	their	PRON
iassist-979	102	17	comfort	comfort	NOUN
iassist-979	102	18	level	level	NOUN
iassist-979	102	19	in	in	ADP
iassist-979	102	20	discussing	discuss	VERB
iassist-979	102	21	these	these	DET
iassist-979	102	22	issues	issue	NOUN
iassist-979	102	23	with	with	ADP
iassist-979	102	24	family	family	NOUN
iassist-979	102	25	members	member	NOUN
iassist-979	102	26	could	could	AUX
iassist-979	102	27	still	still	ADV
iassist-979	102	28	impact	impact	VERB
iassist-979	102	29	these	these	DET
iassist-979	102	30	individuals	individual	NOUN
iassist-979	102	31	and	and	CCONJ
iassist-979	102	32	their	their	PRON
iassist-979	102	33	relationships	relationship	NOUN
iassist-979	102	34	.	.	PUNCT
iassist-979	103	1	anonymization	anonymization	NOUN
iassist-979	103	2	of	of	ADP
iassist-979	103	3	this	this	DET
iassist-979	103	4	dataset	dataset	NOUN
iassist-979	103	5	did	do	AUX
iassist-979	103	6	not	not	PART
iassist-979	103	7	require	require	VERB
iassist-979	103	8	removal	removal	NOUN
iassist-979	103	9	of	of	ADP
iassist-979	103	10	direct	direct	ADJ
iassist-979	103	11	identifiers	identifier	NOUN
iassist-979	103	12	,	,	PUNCT
iassist-979	103	13	as	as	SCONJ
iassist-979	103	14	none	none	NOUN
iassist-979	103	15	were	be	AUX
iassist-979	103	16	provided	provide	VERB
iassist-979	103	17	in	in	ADP
iassist-979	103	18	the	the	DET
iassist-979	103	19	version	version	NOUN
iassist-979	103	20	of	of	ADP
iassist-979	103	21	the	the	DET
iassist-979	103	22	dataset	dataset	NOUN
iassist-979	103	23	made	make	VERB
iassist-979	103	24	available	available	ADJ
iassist-979	103	25	to	to	ADP
iassist-979	103	26	the	the	DET
iassist-979	103	27	authors	author	NOUN
iassist-979	103	28	.	.	PUNCT
iassist-979	104	1	potential	potential	ADJ
iassist-979	104	2	quasi	quasi	NOUN
iassist-979	104	3	-	-	NOUN
iassist-979	104	4	identifiers	identifier	NOUN
iassist-979	104	5	noted	note	VERB
iassist-979	104	6	within	within	ADP
iassist-979	104	7	the	the	DET
iassist-979	104	8	dataset	dataset	NOUN
iassist-979	104	9	included	include	VERB
iassist-979	104	10	subject	subject	ADJ
iassist-979	104	11	age	age	NOUN
iassist-979	104	12	,	,	PUNCT
iassist-979	104	13	gender	gender	NOUN
iassist-979	104	14	,	,	PUNCT
iassist-979	104	15	region	region	NOUN
iassist-979	104	16	of	of	ADP
iassist-979	104	17	residence	residence	NOUN
iassist-979	104	18	,	,	PUNCT
iassist-979	104	19	household	household	NOUN
iassist-979	104	20	composition	composition	NOUN
iassist-979	104	21	(	(	PUNCT
iassist-979	104	22	i.e.	i.e.	X
iassist-979	104	23	number	number	NOUN
iassist-979	104	24	of	of	ADP
iassist-979	104	25	parents	parent	NOUN
iassist-979	104	26	,	,	PUNCT
iassist-979	104	27	presence	presence	NOUN
iassist-979	104	28	of	of	ADP
iassist-979	104	29	older	old	ADJ
iassist-979	104	30	siblings	sibling	NOUN
iassist-979	104	31	)	)	PUNCT
iassist-979	104	32	,	,	PUNCT
iassist-979	104	33	aboriginal	aboriginal	ADJ
iassist-979	104	34	status	status	NOUN
iassist-979	104	35	and	and	CCONJ
iassist-979	104	36	visible	visible	ADJ
iassist-979	104	37	minority	minority	NOUN
iassist-979	104	38	status	status	NOUN
iassist-979	104	39	.	.	PUNCT
iassist-979	105	1	based	base	VERB
iassist-979	105	2	on	on	ADP
iassist-979	105	3	factors	factor	NOUN
iassist-979	105	4	including	include	VERB
iassist-979	105	5	lists	list	NOUN
iassist-979	105	6	of	of	ADP
iassist-979	105	7	key	key	ADJ
iassist-979	105	8	quasi	quasi	NOUN
iassist-979	105	9	-	-	NOUN
iassist-979	105	10	identifiers	identifier	NOUN
iassist-979	105	11	to	to	PART
iassist-979	105	12	check	check	VERB
iassist-979	105	13	for	for	ADP
iassist-979	105	14	as	as	ADV
iassist-979	105	15	well	well	ADV
iassist-979	105	16	as	as	ADP
iassist-979	105	17	concepts	concept	NOUN
iassist-979	105	18	such	such	ADJ
iassist-979	105	19	as	as	ADP
iassist-979	105	20	attribute	attribute	NOUN
iassist-979	105	21	persistence	persistence	NOUN
iassist-979	105	22	(	(	PUNCT
iassist-979	105	23	household	household	NOUN
iassist-979	105	24	composition	composition	NOUN
iassist-979	105	25	as	as	ADP
iassist-979	105	26	an	an	DET
iassist-979	105	27	adolescent	adolescent	ADJ
iassist-979	105	28	will	will	AUX
iassist-979	105	29	not	not	PART
iassist-979	105	30	persist	persist	VERB
iassist-979	105	31	into	into	ADP
iassist-979	105	32	adulthood	adulthood	NOUN
iassist-979	105	33	)	)	PUNCT
iassist-979	106	1	we	we	PRON
iassist-979	106	2	decided	decide	VERB
iassist-979	106	3	to	to	PART
iassist-979	106	4	focus	focus	VERB
iassist-979	106	5	on	on	ADP
iassist-979	106	6	age	age	NOUN
iassist-979	106	7	,	,	PUNCT
iassist-979	106	8	sex	sex	NOUN
iassist-979	106	9	,	,	PUNCT
iassist-979	106	10	geographic	geographic	ADJ
iassist-979	106	11	region	region	NOUN
iassist-979	106	12	,	,	PUNCT
iassist-979	106	13	visible	visible	ADJ
iassist-979	106	14	minority	minority	NOUN
iassist-979	106	15	status	status	NOUN
iassist-979	106	16	and	and	CCONJ
iassist-979	106	17	aboriginal	aboriginal	ADJ
iassist-979	106	18	status	status	NOUN
iassist-979	106	19	.	.	PUNCT
iassist-979	107	1	some	some	DET
iassist-979	107	2	necessary	necessary	ADJ
iassist-979	107	3	context	context	NOUN
iassist-979	107	4	:	:	PUNCT
iassist-979	107	5	in	in	ADP
iassist-979	107	6	canadian	canadian	ADJ
iassist-979	107	7	government	government	NOUN
iassist-979	107	8	data	datum	NOUN
iassist-979	107	9	,	,	PUNCT
iassist-979	107	10	aboriginal	aboriginal	ADJ
iassist-979	107	11	status	status	NOUN
iassist-979	107	12	is	be	AUX
iassist-979	107	13	considered	consider	VERB
iassist-979	107	14	an	an	DET
iassist-979	107	15	ethnopolitical	ethnopolitical	ADJ
iassist-979	107	16	category	category	NOUN
iassist-979	107	17	.	.	PUNCT
iassist-979	108	1	survey	survey	NOUN
iassist-979	108	2	respondents	respondent	NOUN
iassist-979	108	3	may	may	AUX
iassist-979	108	4	be	be	AUX
iassist-979	108	5	aboriginal	aboriginal	ADJ
iassist-979	108	6	or	or	CCONJ
iassist-979	108	7	visible	visible	ADJ
iassist-979	108	8	minority	minority	NOUN
iassist-979	108	9	but	but	CCONJ
iassist-979	108	10	are	be	AUX
iassist-979	108	11	only	only	ADV
iassist-979	108	12	considered	consider	VERB
iassist-979	108	13	both	both	PRON
iassist-979	108	14	if	if	SCONJ
iassist-979	108	15	they	they	PRON
iassist-979	108	16	are	be	AUX
iassist-979	108	17	a	a	DET
iassist-979	108	18	mix	mix	NOUN
iassist-979	108	19	of	of	ADP
iassist-979	108	20	aboriginal	aboriginal	ADJ
iassist-979	108	21	and	and	CCONJ
iassist-979	108	22	some	some	DET
iassist-979	108	23	other	other	ADJ
iassist-979	108	24	visible	visible	ADJ
iassist-979	108	25	minority	minority	NOUN
iassist-979	108	26	group	group	NOUN
iassist-979	108	27	,	,	PUNCT
iassist-979	108	28	such	such	ADJ
iassist-979	108	29	as	as	ADP
iassist-979	108	30	asian	asian	ADJ
iassist-979	108	31	.	.	PUNCT
iassist-979	109	1	visible	visible	ADJ
iassist-979	109	2	minority	minority	NOUN
iassist-979	109	3	status	status	NOUN
iassist-979	109	4	is	be	AUX
iassist-979	109	5	coded	code	VERB
iassist-979	109	6	as	as	ADP
iassist-979	109	7	a	a	DET
iassist-979	109	8	binary	binary	ADJ
iassist-979	109	9	variable	variable	NOUN
iassist-979	109	10	;	;	PUNCT
iassist-979	109	11	respondents	respondent	NOUN
iassist-979	109	12	who	who	PRON
iassist-979	109	13	are	be	AUX
iassist-979	109	14	not	not	PART
iassist-979	109	15	caucasian	caucasian	ADJ
iassist-979	109	16	or	or	CCONJ
iassist-979	109	17	aboriginal	aboriginal	ADJ
iassist-979	109	18	are	be	AUX
iassist-979	109	19	considered	consider	VERB
iassist-979	109	20	a	a	DET
iassist-979	109	21	visible	visible	ADJ
iassist-979	109	22	minority	minority	NOUN
iassist-979	109	23	.	.	PUNCT
iassist-979	110	1	in	in	ADP
iassist-979	110	2	this	this	DET
iassist-979	110	3	dataset	dataset	NOUN
iassist-979	110	4	age	age	NOUN
iassist-979	110	5	had	have	VERB
iassist-979	110	6	three	three	NUM
iassist-979	110	7	categories	category	NOUN
iassist-979	110	8	as	as	SCONJ
iassist-979	110	9	respondents	respondent	NOUN
iassist-979	110	10	ranged	range	VERB
iassist-979	110	11	from	from	ADP
iassist-979	110	12	13	13	NUM
iassist-979	110	13	to	to	ADP
iassist-979	110	14	15	15	NUM
iassist-979	110	15	,	,	PUNCT
iassist-979	110	16	and	and	CCONJ
iassist-979	110	17	region	region	NOUN
iassist-979	110	18	had	have	VERB
iassist-979	110	19	seven	seven	NUM
iassist-979	110	20	categories	category	NOUN
iassist-979	110	21	:	:	PUNCT
iassist-979	110	22	one	one	NUM
iassist-979	110	23	category	category	NOUN
iassist-979	110	24	for	for	ADP
iassist-979	110	25	canada	canada	PROPN
iassist-979	110	26	's	's	PART
iassist-979	110	27	four	four	NUM
iassist-979	110	28	small	small	ADJ
iassist-979	110	29	atlantic	atlantic	ADJ
iassist-979	110	30	provinces	province	NOUN
iassist-979	110	31	and	and	CCONJ
iassist-979	110	32	six	six	NUM
iassist-979	110	33	representing	represent	VERB
iassist-979	110	34	each	each	PRON
iassist-979	110	35	of	of	ADP
iassist-979	110	36	canada	canada	PROPN
iassist-979	110	37	’s	’s	PART
iassist-979	110	38	remaining	remain	VERB
iassist-979	110	39	six	six	NUM
iassist-979	110	40	provinces	province	NOUN
iassist-979	110	41	.	.	PUNCT
iassist-979	111	1	documentation	documentation	NOUN
iassist-979	111	2	informed	inform	VERB
iassist-979	111	3	us	we	PRON
iassist-979	111	4	that	that	SCONJ
iassist-979	111	5	respondents	respondent	NOUN
iassist-979	111	6	from	from	ADP
iassist-979	111	7	the	the	DET
iassist-979	111	8	three	three	NUM
iassist-979	111	9	northern	northern	ADJ
iassist-979	111	10	territories	territory	NOUN
iassist-979	111	11	were	be	AUX
iassist-979	111	12	grouped	group	VERB
iassist-979	111	13	with	with	ADP
iassist-979	111	14	the	the	DET
iassist-979	111	15	geographically	geographically	ADV
iassist-979	111	16	nearest	near	ADJ
iassist-979	111	17	province	province	NOUN
iassist-979	111	18	.	.	PUNCT
iassist-979	112	1	the	the	DET
iassist-979	112	2	remaining	remain	VERB
iassist-979	112	3	variables	variable	NOUN
iassist-979	112	4	were	be	AUX
iassist-979	112	5	binary	binary	ADJ
iassist-979	112	6	.	.	PUNCT
iassist-979	113	1	simple	simple	ADJ
iassist-979	113	2	multiplication	multiplication	NOUN
iassist-979	113	3	would	would	AUX
iassist-979	113	4	suggest	suggest	VERB
iassist-979	113	5	a	a	DET
iassist-979	113	6	total	total	NOUN
iassist-979	113	7	of	of	ADP
iassist-979	113	8	168	168	NUM
iassist-979	113	9	possible	possible	ADJ
iassist-979	113	10	equivalence	equivalence	NOUN
iassist-979	113	11	classes	class	NOUN
iassist-979	113	12	,	,	PUNCT
iassist-979	113	13	but	but	CCONJ
iassist-979	113	14	since	since	SCONJ
iassist-979	113	15	the	the	DET
iassist-979	113	16	aboriginal	aboriginal	ADJ
iassist-979	113	17	and	and	CCONJ
iassist-979	113	18	visible	visible	ADJ
iassist-979	113	19	minority	minority	NOUN
iassist-979	113	20	statuses	status	NOUN
iassist-979	113	21	are	be	AUX
iassist-979	113	22	effectively	effectively	ADV
iassist-979	113	23	mutually	mutually	ADV
iassist-979	113	24	exclusive	exclusive	ADJ
iassist-979	113	25	the	the	DET
iassist-979	113	26	actual	actual	ADJ
iassist-979	113	27	total	total	NOUN
iassist-979	113	28	is	be	AUX
iassist-979	113	29	126	126	NUM
iassist-979	113	30	possible	possible	ADJ
iassist-979	113	31	equivalence	equivalence	NOUN
iassist-979	113	32	classes	class	NOUN
iassist-979	113	33	.	.	PUNCT
iassist-979	114	1	if	if	SCONJ
iassist-979	114	2	these	these	PRON
iassist-979	114	3	were	be	AUX
iassist-979	114	4	distributed	distribute	VERB
iassist-979	114	5	equally	equally	ADV
iassist-979	114	6	across	across	ADP
iassist-979	114	7	the	the	DET
iassist-979	114	8	dataset	dataset	NOUN
iassist-979	114	9	,	,	PUNCT
iassist-979	114	10	we	we	PRON
iassist-979	114	11	would	would	AUX
iassist-979	114	12	expect	expect	VERB
iassist-979	114	13	each	each	DET
iassist-979	114	14	equivalence	equivalence	NOUN
iassist-979	114	15	class	class	NOUN
iassist-979	114	16	to	to	PART
iassist-979	114	17	contain	contain	VERB
iassist-979	114	18	about	about	ADV
iassist-979	114	19	12	12	NUM
iassist-979	114	20	cases	case	NOUN
iassist-979	114	21	.	.	PUNCT
iassist-979	115	1	however	however	ADV
iassist-979	115	2	,	,	PUNCT
iassist-979	115	3	as	as	SCONJ
iassist-979	115	4	is	be	AUX
iassist-979	115	5	usual	usual	ADJ
iassist-979	115	6	in	in	ADP
iassist-979	115	7	practice	practice	NOUN
iassist-979	115	8	,	,	PUNCT
iassist-979	115	9	they	they	PRON
iassist-979	115	10	are	be	AUX
iassist-979	115	11	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	115	12	6/13	6/13	NUM
iassist-979	115	13	thompson	thompson	PROPN
iassist-979	115	14	,	,	PUNCT
iassist-979	115	15	kristi	kristi	PROPN
iassist-979	115	16	and	and	CCONJ
iassist-979	115	17	sullivan	sullivan	PROPN
iassist-979	115	18	,	,	PUNCT
iassist-979	115	19	carolyn	carolyn	PROPN
iassist-979	115	20	(	(	PUNCT
iassist-979	115	21	2020	2020	NUM
iassist-979	115	22	)	)	PUNCT
iassist-979	115	23	mathematics	mathematic	NOUN
iassist-979	115	24	,	,	PUNCT
iassist-979	115	25	risk	risk	NOUN
iassist-979	115	26	,	,	PUNCT
iassist-979	115	27	and	and	CCONJ
iassist-979	115	28	messy	messy	ADJ
iassist-979	115	29	survey	survey	NOUN
iassist-979	115	30	data	datum	NOUN
iassist-979	115	31	,	,	PUNCT
iassist-979	115	32	iassist	iassist	VERB
iassist-979	115	33	quarterly	quarterly	ADJ
iassist-979	115	34	44(4	44(4	NOUN
iassist-979	115	35	)	)	PUNCT
iassist-979	115	36	,	,	PUNCT
iassist-979	115	37	pp	pp	ADP
iassist-979	115	38	.	.	PUNCT
iassist-979	116	1	1	1	NUM
iassist-979	116	2	-	-	SYM
iassist-979	116	3	13	13	NUM
iassist-979	116	4	.	.	PUNCT
iassist-979	117	1	doi	doi	NOUN
iassist-979	117	2	:	:	PUNCT
iassist-979	117	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	117	4	not	not	PART
iassist-979	117	5	distributed	distribute	VERB
iassist-979	117	6	equally	equally	ADV
iassist-979	117	7	across	across	ADP
iassist-979	117	8	the	the	DET
iassist-979	117	9	dataset	dataset	NOUN
iassist-979	117	10	.	.	PUNCT
iassist-979	118	1	some	some	DET
iassist-979	118	2	classes	class	NOUN
iassist-979	118	3	are	be	AUX
iassist-979	118	4	much	much	ADV
iassist-979	118	5	larger	large	ADJ
iassist-979	118	6	than	than	ADP
iassist-979	118	7	others	other	NOUN
iassist-979	118	8	.	.	PUNCT
iassist-979	119	1	the	the	DET
iassist-979	119	2	aboriginal	aboriginal	ADJ
iassist-979	119	3	group	group	NOUN
iassist-979	119	4	,	,	PUNCT
iassist-979	119	5	for	for	ADP
iassist-979	119	6	example	example	NOUN
iassist-979	119	7	,	,	PUNCT
iassist-979	119	8	made	make	VERB
iassist-979	119	9	up	up	ADP
iassist-979	119	10	less	less	ADJ
iassist-979	119	11	than	than	ADP
iassist-979	119	12	5	5	NUM
iassist-979	119	13	percent	percent	NOUN
iassist-979	119	14	of	of	ADP
iassist-979	119	15	the	the	DET
iassist-979	119	16	sample	sample	NOUN
iassist-979	119	17	,	,	PUNCT
iassist-979	119	18	and	and	CCONJ
iassist-979	119	19	the	the	DET
iassist-979	119	20	regions	region	NOUN
iassist-979	119	21	are	be	AUX
iassist-979	119	22	similarly	similarly	ADV
iassist-979	119	23	unbalanced	unbalanced	ADJ
iassist-979	119	24	with	with	ADP
iassist-979	119	25	the	the	DET
iassist-979	119	26	largest	large	ADJ
iassist-979	119	27	two	two	NUM
iassist-979	119	28	making	make	VERB
iassist-979	119	29	up	up	ADP
iassist-979	119	30	over	over	ADP
iassist-979	119	31	half	half	DET
iassist-979	119	32	the	the	DET
iassist-979	119	33	sample	sample	NOUN
iassist-979	119	34	.	.	PUNCT
iassist-979	120	1	when	when	SCONJ
iassist-979	120	2	the	the	DET
iassist-979	120	3	equivalence	equivalence	NOUN
iassist-979	120	4	classes	class	NOUN
iassist-979	120	5	were	be	AUX
iassist-979	120	6	calculated	calculate	VERB
iassist-979	120	7	(	(	PUNCT
iassist-979	120	8	see	see	VERB
iassist-979	120	9	appendix	appendix	NOUN
iassist-979	120	10	for	for	ADP
iassist-979	120	11	code	code	NOUN
iassist-979	120	12	samples	sample	NOUN
iassist-979	120	13	in	in	ADP
iassist-979	120	14	stata	stata	NOUN
iassist-979	120	15	and	and	CCONJ
iassist-979	120	16	r	r	X
iassist-979	120	17	)	)	PUNCT
iassist-979	120	18	we	we	PRON
iassist-979	120	19	found	find	VERB
iassist-979	120	20	that	that	SCONJ
iassist-979	120	21	our	our	PRON
iassist-979	120	22	dataset	dataset	NOUN
iassist-979	120	23	had	have	VERB
iassist-979	120	24	21	21	NUM
iassist-979	120	25	equivalence	equivalence	NOUN
iassist-979	120	26	classes	class	NOUN
iassist-979	120	27	with	with	ADP
iassist-979	120	28	only	only	ADV
iassist-979	120	29	a	a	DET
iassist-979	120	30	single	single	ADJ
iassist-979	120	31	member	member	NOUN
iassist-979	120	32	,	,	PUNCT
iassist-979	120	33	and	and	CCONJ
iassist-979	120	34	a	a	DET
iassist-979	120	35	total	total	NOUN
iassist-979	120	36	of	of	ADP
iassist-979	120	37	42	42	NUM
iassist-979	120	38	equivalence	equivalence	NOUN
iassist-979	120	39	classes	class	NOUN
iassist-979	120	40	with	with	ADP
iassist-979	120	41	less	less	ADJ
iassist-979	120	42	than	than	ADP
iassist-979	120	43	5	5	NUM
iassist-979	120	44	members	member	NOUN
iassist-979	120	45	.	.	PUNCT
iassist-979	121	1	clearly	clearly	ADV
iassist-979	121	2	,	,	PUNCT
iassist-979	121	3	even	even	ADV
iassist-979	121	4	looking	look	VERB
iassist-979	121	5	at	at	ADP
iassist-979	121	6	a	a	DET
iassist-979	121	7	relatively	relatively	ADV
iassist-979	121	8	small	small	ADJ
iassist-979	121	9	number	number	NOUN
iassist-979	121	10	of	of	ADP
iassist-979	121	11	variables	variable	NOUN
iassist-979	121	12	with	with	ADP
iassist-979	121	13	only	only	ADV
iassist-979	121	14	a	a	DET
iassist-979	121	15	few	few	ADJ
iassist-979	121	16	categories	category	NOUN
iassist-979	121	17	each	each	PRON
iassist-979	121	18	,	,	PUNCT
iassist-979	121	19	in	in	ADP
iassist-979	121	20	a	a	DET
iassist-979	121	21	fairly	fairly	ADV
iassist-979	121	22	large	large	ADJ
iassist-979	121	23	dataset	dataset	NOUN
iassist-979	121	24	,	,	PUNCT
iassist-979	121	25	it	it	PRON
iassist-979	121	26	is	be	AUX
iassist-979	121	27	very	very	ADV
iassist-979	121	28	difficult	difficult	ADJ
iassist-979	121	29	to	to	PART
iassist-979	121	30	produce	produce	VERB
iassist-979	121	31	a	a	DET
iassist-979	121	32	dataset	dataset	NOUN
iassist-979	121	33	that	that	PRON
iassist-979	121	34	satisfies	satisfy	VERB
iassist-979	121	35	k	k	NOUN
iassist-979	121	36	-	-	NOUN
iassist-979	121	37	anonymity	anonymity	NOUN
iassist-979	121	38	let	let	VERB
iassist-979	121	39	alone	alone	ADV
iassist-979	121	40	any	any	DET
iassist-979	121	41	more	more	ADV
iassist-979	121	42	stringent	stringent	ADJ
iassist-979	121	43	criteria	criterion	NOUN
iassist-979	121	44	.	.	PUNCT
iassist-979	122	1	we	we	PRON
iassist-979	122	2	were	be	AUX
iassist-979	122	3	able	able	ADJ
iassist-979	122	4	to	to	PART
iassist-979	122	5	achieve	achieve	VERB
iassist-979	122	6	k	k	NOUN
iassist-979	122	7	-	-	NOUN
iassist-979	122	8	anonymity	anonymity	NOUN
iassist-979	122	9	by	by	ADP
iassist-979	122	10	deleting	delete	VERB
iassist-979	122	11	the	the	DET
iassist-979	122	12	region	region	NOUN
iassist-979	122	13	variable	variable	NOUN
iassist-979	122	14	;	;	PUNCT
iassist-979	122	15	on	on	ADP
iassist-979	122	16	the	the	DET
iassist-979	122	17	remaining	remain	VERB
iassist-979	122	18	four	four	NUM
iassist-979	122	19	variables	variable	NOUN
iassist-979	122	20	there	there	PRON
iassist-979	122	21	were	be	VERB
iassist-979	122	22	no	no	DET
iassist-979	122	23	equivalence	equivalence	NOUN
iassist-979	122	24	classes	class	NOUN
iassist-979	122	25	smaller	small	ADJ
iassist-979	122	26	than	than	ADP
iassist-979	122	27	5	5	NUM
iassist-979	122	28	.	.	PUNCT
iassist-979	123	1	but	but	CCONJ
iassist-979	123	2	how	how	SCONJ
iassist-979	123	3	risky	risky	ADJ
iassist-979	123	4	would	would	AUX
iassist-979	123	5	it	it	PRON
iassist-979	123	6	have	have	AUX
iassist-979	123	7	been	be	AUX
iassist-979	123	8	to	to	PART
iassist-979	123	9	include	include	VERB
iassist-979	123	10	the	the	DET
iassist-979	123	11	region	region	NOUN
iassist-979	123	12	variable	variable	NOUN
iassist-979	123	13	in	in	ADP
iassist-979	123	14	this	this	DET
iassist-979	123	15	survey	survey	NOUN
iassist-979	123	16	?	?	PUNCT
iassist-979	124	1	this	this	DET
iassist-979	124	2	survey	survey	NOUN
iassist-979	124	3	is	be	AUX
iassist-979	124	4	a	a	DET
iassist-979	124	5	sample	sample	NOUN
iassist-979	124	6	of	of	ADP
iassist-979	124	7	a	a	DET
iassist-979	124	8	much	much	ADV
iassist-979	124	9	larger	large	ADJ
iassist-979	124	10	population	population	NOUN
iassist-979	124	11	,	,	PUNCT
iassist-979	124	12	the	the	DET
iassist-979	124	13	population	population	NOUN
iassist-979	124	14	of	of	ADP
iassist-979	124	15	people	people	NOUN
iassist-979	124	16	aged	age	VERB
iassist-979	124	17	13	13	NUM
iassist-979	124	18	to	to	PART
iassist-979	124	19	15	15	NUM
iassist-979	124	20	in	in	ADP
iassist-979	124	21	canada	canada	PROPN
iassist-979	124	22	in	in	ADP
iassist-979	124	23	2008	2008	NUM
iassist-979	124	24	.	.	PUNCT
iassist-979	125	1	recall	recall	VERB
iassist-979	125	2	that	that	SCONJ
iassist-979	125	3	if	if	SCONJ
iassist-979	125	4	an	an	DET
iassist-979	125	5	equivalence	equivalence	NOUN
iassist-979	125	6	class	class	NOUN
iassist-979	125	7	in	in	ADP
iassist-979	125	8	the	the	DET
iassist-979	125	9	dataset	dataset	NOUN
iassist-979	125	10	can	can	AUX
iassist-979	125	11	be	be	AUX
iassist-979	125	12	assumed	assume	VERB
iassist-979	125	13	to	to	PART
iassist-979	125	14	have	have	VERB
iassist-979	125	15	many	many	ADJ
iassist-979	125	16	co	co	NOUN
iassist-979	125	17	-	-	NOUN
iassist-979	125	18	equivalents	equivalent	NOUN
iassist-979	125	19	in	in	ADP
iassist-979	125	20	the	the	DET
iassist-979	125	21	general	general	ADJ
iassist-979	125	22	population	population	NOUN
iassist-979	125	23	,	,	PUNCT
iassist-979	125	24	then	then	ADV
iassist-979	125	25	membership	membership	NOUN
iassist-979	125	26	in	in	ADP
iassist-979	125	27	an	an	DET
iassist-979	125	28	equivalence	equivalence	NOUN
iassist-979	125	29	class	class	NOUN
iassist-979	125	30	can	can	AUX
iassist-979	125	31	not	not	PART
iassist-979	125	32	be	be	AUX
iassist-979	125	33	said	say	VERB
iassist-979	125	34	to	to	PART
iassist-979	125	35	reveal	reveal	VERB
iassist-979	125	36	confidential	confidential	ADJ
iassist-979	125	37	attributes	attribute	NOUN
iassist-979	125	38	or	or	CCONJ
iassist-979	125	39	opinions	opinion	NOUN
iassist-979	125	40	.	.	PUNCT
iassist-979	126	1	but	but	CCONJ
iassist-979	126	2	how	how	SCONJ
iassist-979	126	3	does	do	AUX
iassist-979	126	4	one	one	PRON
iassist-979	126	5	know	know	VERB
iassist-979	126	6	if	if	SCONJ
iassist-979	126	7	this	this	PRON
iassist-979	126	8	is	be	AUX
iassist-979	126	9	a	a	DET
iassist-979	126	10	safe	safe	ADJ
iassist-979	126	11	assumption	assumption	NOUN
iassist-979	126	12	?	?	PUNCT
iassist-979	127	1	the	the	DET
iassist-979	127	2	first	first	ADJ
iassist-979	127	3	co	co	NOUN
iassist-979	127	4	-	-	NOUN
iassist-979	127	5	author	author	NOUN
iassist-979	127	6	decided	decide	VERB
iassist-979	127	7	to	to	PART
iassist-979	127	8	investigate	investigate	VERB
iassist-979	127	9	further	far	ADV
iassist-979	127	10	.	.	PUNCT
iassist-979	128	1	the	the	DET
iassist-979	128	2	census	census	NOUN
iassist-979	128	3	of	of	ADP
iassist-979	128	4	canada	canada	PROPN
iassist-979	128	5	20163	20163	NUM
iassist-979	128	6	(	(	PUNCT
iassist-979	128	7	statistics	statistics	PROPN
iassist-979	128	8	canada	canada	PROPN
iassist-979	128	9	,	,	PUNCT
iassist-979	128	10	2019	2019	NUM
iassist-979	128	11	)	)	PUNCT
iassist-979	128	12	is	be	AUX
iassist-979	128	13	a	a	DET
iassist-979	128	14	complete	complete	ADJ
iassist-979	128	15	sample	sample	NOUN
iassist-979	128	16	of	of	ADP
iassist-979	128	17	the	the	DET
iassist-979	128	18	population	population	NOUN
iassist-979	128	19	of	of	ADP
iassist-979	128	20	canada	canada	PROPN
iassist-979	128	21	;	;	PUNCT
iassist-979	128	22	as	as	ADP
iassist-979	128	23	such	such	ADJ
iassist-979	128	24	it	it	PRON
iassist-979	128	25	includes	include	VERB
iassist-979	128	26	the	the	DET
iassist-979	128	27	complete	complete	ADJ
iassist-979	128	28	population	population	NOUN
iassist-979	128	29	of	of	ADP
iassist-979	128	30	people	people	NOUN
iassist-979	128	31	who	who	PRON
iassist-979	128	32	were	be	AUX
iassist-979	128	33	age	age	NOUN
iassist-979	128	34	13	13	NUM
iassist-979	128	35	to	to	PART
iassist-979	128	36	15	15	NUM
iassist-979	128	37	in	in	ADP
iassist-979	128	38	2009	2009	NUM
iassist-979	128	39	,	,	PUNCT
iassist-979	128	40	minus	minus	CCONJ
iassist-979	128	41	any	any	DET
iassist-979	128	42	intervening	intervene	VERB
iassist-979	128	43	deaths	death	NOUN
iassist-979	128	44	or	or	CCONJ
iassist-979	128	45	emigrations	emigration	NOUN
iassist-979	128	46	.	.	PUNCT
iassist-979	129	1	a	a	DET
iassist-979	129	2	public	public	ADJ
iassist-979	129	3	use	use	NOUN
iassist-979	129	4	sample	sample	NOUN
iassist-979	129	5	is	be	AUX
iassist-979	129	6	made	make	VERB
iassist-979	129	7	available	available	ADJ
iassist-979	129	8	for	for	SCONJ
iassist-979	129	9	academic	academic	ADJ
iassist-979	129	10	researchers	researcher	NOUN
iassist-979	129	11	to	to	PART
iassist-979	129	12	download	download	VERB
iassist-979	129	13	;	;	PUNCT
iassist-979	129	14	although	although	SCONJ
iassist-979	129	15	this	this	PRON
iassist-979	129	16	is	be	AUX
iassist-979	129	17	a	a	DET
iassist-979	129	18	subset	subset	NOUN
iassist-979	129	19	of	of	ADP
iassist-979	129	20	the	the	DET
iassist-979	129	21	full	full	ADJ
iassist-979	129	22	data	datum	NOUN
iassist-979	129	23	,	,	PUNCT
iassist-979	129	24	this	this	DET
iassist-979	129	25	sample	sample	NOUN
iassist-979	129	26	includes	include	VERB
iassist-979	129	27	a	a	DET
iassist-979	129	28	weight	weight	NOUN
iassist-979	129	29	variable	variable	NOUN
iassist-979	129	30	that	that	PRON
iassist-979	129	31	allows	allow	VERB
iassist-979	129	32	it	it	PRON
iassist-979	129	33	to	to	PART
iassist-979	129	34	be	be	AUX
iassist-979	129	35	weighted	weight	VERB
iassist-979	129	36	back	back	ADV
iassist-979	129	37	to	to	PART
iassist-979	129	38	represent	represent	VERB
iassist-979	129	39	the	the	DET
iassist-979	129	40	full	full	ADJ
iassist-979	129	41	population	population	NOUN
iassist-979	129	42	.	.	PUNCT
iassist-979	130	1	i	i	PRON
iassist-979	130	2	decided	decide	VERB
iassist-979	130	3	to	to	PART
iassist-979	130	4	use	use	VERB
iassist-979	130	5	this	this	PRON
iassist-979	130	6	to	to	PART
iassist-979	130	7	determine	determine	VERB
iassist-979	130	8	the	the	DET
iassist-979	130	9	size	size	NOUN
iassist-979	130	10	of	of	ADP
iassist-979	130	11	the	the	DET
iassist-979	130	12	general	general	ADJ
iassist-979	130	13	population	population	NOUN
iassist-979	130	14	equivalence	equivalence	NOUN
iassist-979	130	15	classes	class	NOUN
iassist-979	130	16	for	for	ADP
iassist-979	130	17	our	our	PRON
iassist-979	130	18	sample	sample	NOUN
iassist-979	130	19	unique	unique	ADJ
iassist-979	130	20	cases	case	NOUN
iassist-979	130	21	.	.	PUNCT
iassist-979	131	1	it	it	PRON
iassist-979	131	2	was	be	AUX
iassist-979	131	3	straightforward	straightforward	ADJ
iassist-979	131	4	to	to	PART
iassist-979	131	5	create	create	VERB
iassist-979	131	6	a	a	DET
iassist-979	131	7	version	version	NOUN
iassist-979	131	8	of	of	ADP
iassist-979	131	9	the	the	DET
iassist-979	131	10	census	census	NOUN
iassist-979	131	11	of	of	ADP
iassist-979	131	12	canada	canada	PROPN
iassist-979	131	13	dataset	dataset	VERB
iassist-979	131	14	that	that	PRON
iassist-979	131	15	matched	match	VERB
iassist-979	131	16	the	the	DET
iassist-979	131	17	variables	variable	NOUN
iassist-979	131	18	and	and	CCONJ
iassist-979	131	19	population	population	NOUN
iassist-979	131	20	of	of	ADP
iassist-979	131	21	the	the	DET
iassist-979	131	22	nads	nad	NOUN
iassist-979	131	23	.	.	PUNCT
iassist-979	132	1	the	the	DET
iassist-979	132	2	census	census	NOUN
iassist-979	132	3	of	of	ADP
iassist-979	132	4	canada	canada	PROPN
iassist-979	132	5	also	also	ADV
iassist-979	132	6	includes	include	VERB
iassist-979	132	7	questions	question	NOUN
iassist-979	132	8	on	on	ADP
iassist-979	132	9	gender	gender	NOUN
iassist-979	132	10	,	,	PUNCT
iassist-979	132	11	visible	visible	ADJ
iassist-979	132	12	minority	minority	NOUN
iassist-979	132	13	status	status	NOUN
iassist-979	132	14	,	,	PUNCT
iassist-979	132	15	and	and	CCONJ
iassist-979	132	16	aboriginal	aboriginal	ADJ
iassist-979	132	17	identity	identity	NOUN
iassist-979	132	18	.	.	PUNCT
iassist-979	133	1	the	the	DET
iassist-979	133	2	latter	latter	ADJ
iassist-979	133	3	two	two	NUM
iassist-979	133	4	variables	variable	NOUN
iassist-979	133	5	needed	need	VERB
iassist-979	133	6	to	to	PART
iassist-979	133	7	be	be	AUX
iassist-979	133	8	recoded	recode	VERB
iassist-979	133	9	to	to	ADP
iassist-979	133	10	binary	binary	ADJ
iassist-979	133	11	variables	variable	NOUN
iassist-979	133	12	,	,	PUNCT
iassist-979	133	13	but	but	CCONJ
iassist-979	133	14	this	this	PRON
iassist-979	133	15	could	could	AUX
iassist-979	133	16	be	be	AUX
iassist-979	133	17	accomplished	accomplish	VERB
iassist-979	133	18	unambiguously	unambiguously	ADV
iassist-979	133	19	.	.	PUNCT
iassist-979	134	1	the	the	DET
iassist-979	134	2	province	province	NOUN
iassist-979	134	3	/	/	SYM
iassist-979	134	4	territory	territory	NOUN
iassist-979	134	5	variable	variable	NOUN
iassist-979	134	6	was	be	AUX
iassist-979	134	7	similarly	similarly	ADV
iassist-979	134	8	recoded	recode	VERB
iassist-979	134	9	to	to	PART
iassist-979	134	10	match	match	VERB
iassist-979	134	11	the	the	DET
iassist-979	134	12	nads	nad	NOUN
iassist-979	134	13	region	region	NOUN
iassist-979	134	14	variable	variable	NOUN
iassist-979	134	15	,	,	PUNCT
iassist-979	134	16	with	with	ADP
iassist-979	134	17	the	the	DET
iassist-979	134	18	atlantic	atlantic	ADJ
iassist-979	134	19	provinces	province	NOUN
iassist-979	134	20	being	be	AUX
iassist-979	134	21	grouped	group	VERB
iassist-979	134	22	and	and	CCONJ
iassist-979	134	23	the	the	DET
iassist-979	134	24	populations	population	NOUN
iassist-979	134	25	of	of	ADP
iassist-979	134	26	yukon	yukon	PROPN
iassist-979	134	27	,	,	PUNCT
iassist-979	134	28	nunavut	nunavut	PROPN
iassist-979	134	29	and	and	CCONJ
iassist-979	134	30	the	the	DET
iassist-979	134	31	northwest	northwest	NOUN
iassist-979	134	32	territories	territory	NOUN
iassist-979	134	33	each	each	PRON
iassist-979	134	34	being	be	AUX
iassist-979	134	35	assigned	assign	VERB
iassist-979	134	36	to	to	ADP
iassist-979	134	37	the	the	DET
iassist-979	134	38	nearest	near	ADJ
iassist-979	134	39	province	province	NOUN
iassist-979	134	40	.	.	PUNCT
iassist-979	135	1	the	the	DET
iassist-979	135	2	one	one	NUM
iassist-979	135	3	variable	variable	NOUN
iassist-979	135	4	which	which	PRON
iassist-979	135	5	posed	pose	VERB
iassist-979	135	6	a	a	DET
iassist-979	135	7	slight	slight	ADJ
iassist-979	135	8	difficulty	difficulty	NOUN
iassist-979	135	9	was	be	AUX
iassist-979	135	10	the	the	DET
iassist-979	135	11	age	age	NOUN
iassist-979	135	12	variable	variable	NOUN
iassist-979	135	13	.	.	PUNCT
iassist-979	136	1	nads	nad	NOUN
iassist-979	136	2	respondents	respondent	NOUN
iassist-979	136	3	would	would	AUX
iassist-979	136	4	have	have	AUX
iassist-979	136	5	been	be	AUX
iassist-979	136	6	age	age	NOUN
iassist-979	136	7	20	20	NUM
iassist-979	136	8	to	to	PART
iassist-979	136	9	22	22	NUM
iassist-979	136	10	in	in	ADP
iassist-979	136	11	2016	2016	NUM
iassist-979	136	12	;	;	PUNCT
iassist-979	136	13	the	the	DET
iassist-979	136	14	census	census	NOUN
iassist-979	136	15	microdata	microdata	NOUN
iassist-979	136	16	file	file	NOUN
iassist-979	136	17	divided	divide	VERB
iassist-979	136	18	age	age	NOUN
iassist-979	136	19	into	into	ADP
iassist-979	136	20	groups	group	NOUN
iassist-979	136	21	including	include	VERB
iassist-979	136	22	a	a	DET
iassist-979	136	23	category	category	NOUN
iassist-979	136	24	for	for	ADP
iassist-979	136	25	20	20	NUM
iassist-979	136	26	24	24	NUM
iassist-979	136	27	.	.	PUNCT
iassist-979	137	1	i	i	PRON
iassist-979	137	2	created	create	VERB
iassist-979	137	3	an	an	DET
iassist-979	137	4	artificial	artificial	ADJ
iassist-979	137	5	variable	variable	NOUN
iassist-979	137	6	for	for	ADP
iassist-979	137	7	ages	age	NOUN
iassist-979	137	8	20	20	NUM
iassist-979	137	9	to	to	PART
iassist-979	137	10	22	22	NUM
iassist-979	137	11	by	by	ADP
iassist-979	137	12	randomly	randomly	ADV
iassist-979	137	13	assigning	assign	VERB
iassist-979	137	14	one	one	NUM
iassist-979	137	15	fifth	fifth	NOUN
iassist-979	137	16	of	of	ADP
iassist-979	137	17	the	the	DET
iassist-979	137	18	20	20	NUM
iassist-979	137	19	to	to	PART
iassist-979	137	20	24	24	NUM
iassist-979	137	21	year	year	NOUN
iassist-979	137	22	old	old	ADJ
iassist-979	137	23	respondents	respondent	NOUN
iassist-979	137	24	to	to	ADP
iassist-979	137	25	each	each	PRON
iassist-979	137	26	of	of	ADP
iassist-979	137	27	the	the	DET
iassist-979	137	28	categories	category	NOUN
iassist-979	137	29	of	of	ADP
iassist-979	137	30	20	20	NUM
iassist-979	137	31	,	,	PUNCT
iassist-979	137	32	21	21	NUM
iassist-979	137	33	and	and	CCONJ
iassist-979	137	34	22	22	NUM
iassist-979	137	35	.	.	PUNCT
iassist-979	138	1	the	the	DET
iassist-979	138	2	remaining	remain	VERB
iassist-979	138	3	two	two	NUM
iassist-979	138	4	fifths	fifth	NOUN
iassist-979	138	5	of	of	ADP
iassist-979	138	6	the	the	DET
iassist-979	138	7	20	20	NUM
iassist-979	138	8	to	to	PART
iassist-979	138	9	24	24	NUM
iassist-979	138	10	year	year	NOUN
iassist-979	138	11	old	old	ADJ
iassist-979	138	12	respondents	respondent	NOUN
iassist-979	138	13	,	,	PUNCT
iassist-979	138	14	representing	represent	VERB
iassist-979	138	15	the	the	DET
iassist-979	138	16	group	group	NOUN
iassist-979	138	17	that	that	PRON
iassist-979	138	18	was	be	AUX
iassist-979	138	19	23	23	NUM
iassist-979	138	20	and	and	CCONJ
iassist-979	138	21	24	24	NUM
iassist-979	138	22	years	year	NOUN
iassist-979	138	23	old	old	ADJ
iassist-979	138	24	,	,	PUNCT
iassist-979	138	25	were	be	AUX
iassist-979	138	26	dropped	drop	VERB
iassist-979	138	27	from	from	ADP
iassist-979	138	28	the	the	DET
iassist-979	138	29	dataset	dataset	NOUN
iassist-979	138	30	along	along	ADP
iassist-979	138	31	with	with	ADP
iassist-979	138	32	other	other	ADJ
iassist-979	138	33	respondents	respondent	NOUN
iassist-979	138	34	outside	outside	ADP
iassist-979	138	35	the	the	DET
iassist-979	138	36	targeted	target	VERB
iassist-979	138	37	age	age	NOUN
iassist-979	138	38	range	range	NOUN
iassist-979	138	39	.	.	PUNCT
iassist-979	139	1	this	this	PRON
iassist-979	139	2	left	leave	VERB
iassist-979	139	3	a	a	DET
iassist-979	139	4	nationally	nationally	ADV
iassist-979	139	5	representative	representative	ADJ
iassist-979	139	6	sample	sample	NOUN
iassist-979	139	7	that	that	PRON
iassist-979	139	8	matched	match	VERB
iassist-979	139	9	the	the	DET
iassist-979	139	10	population	population	NOUN
iassist-979	139	11	from	from	ADP
iassist-979	139	12	which	which	PRON
iassist-979	139	13	the	the	DET
iassist-979	139	14	nads	nad	NOUN
iassist-979	139	15	was	be	AUX
iassist-979	139	16	drawn	draw	VERB
iassist-979	139	17	that	that	PRON
iassist-979	139	18	could	could	AUX
iassist-979	139	19	be	be	AUX
iassist-979	139	20	used	use	VERB
iassist-979	139	21	to	to	PART
iassist-979	139	22	estimate	estimate	VERB
iassist-979	139	23	the	the	DET
iassist-979	139	24	population	population	NOUN
iassist-979	139	25	risk	risk	NOUN
iassist-979	139	26	of	of	ADP
iassist-979	139	27	the	the	DET
iassist-979	139	28	variables	variable	NOUN
iassist-979	139	29	under	under	ADP
iassist-979	139	30	consideration	consideration	NOUN
iassist-979	139	31	.	.	PUNCT
iassist-979	140	1	when	when	SCONJ
iassist-979	140	2	i	i	PRON
iassist-979	140	3	calculated	calculate	VERB
iassist-979	140	4	the	the	DET
iassist-979	140	5	equivalence	equivalence	NOUN
iassist-979	140	6	classes	class	NOUN
iassist-979	140	7	using	use	VERB
iassist-979	140	8	the	the	DET
iassist-979	140	9	weighted	weight	VERB
iassist-979	140	10	canadian	canadian	ADJ
iassist-979	140	11	census	census	NOUN
iassist-979	140	12	of	of	ADP
iassist-979	140	13	2016	2016	NUM
iassist-979	140	14	,	,	PUNCT
iassist-979	140	15	the	the	DET
iassist-979	140	16	smallest	small	ADJ
iassist-979	140	17	equivalence	equivalence	NOUN
iassist-979	140	18	class	class	NOUN
iassist-979	140	19	was	be	AUX
iassist-979	140	20	estimated	estimate	VERB
iassist-979	140	21	to	to	PART
iassist-979	140	22	have	have	VERB
iassist-979	140	23	370	370	NUM
iassist-979	140	24	cases	case	NOUN
iassist-979	140	25	,	,	PUNCT
iassist-979	140	26	with	with	ADP
iassist-979	140	27	the	the	DET
iassist-979	140	28	next	next	ADJ
iassist-979	140	29	smallest	small	ADJ
iassist-979	140	30	containing	contain	VERB
iassist-979	140	31	518	518	NUM
iassist-979	140	32	,	,	PUNCT
iassist-979	140	33	and	and	CCONJ
iassist-979	140	34	the	the	DET
iassist-979	140	35	remaining	remain	VERB
iassist-979	140	36	214	214	NUM
iassist-979	140	37	equivalence	equivalence	NOUN
iassist-979	140	38	classes	class	NOUN
iassist-979	140	39	being	be	AUX
iassist-979	140	40	considerably	considerably	ADV
iassist-979	140	41	larger	large	ADJ
iassist-979	140	42	.	.	PUNCT
iassist-979	141	1	each	each	DET
iassist-979	141	2	sample	sample	NOUN
iassist-979	141	3	unique	unique	ADJ
iassist-979	141	4	in	in	ADP
iassist-979	141	5	our	our	PRON
iassist-979	141	6	survey	survey	NOUN
iassist-979	141	7	was	be	AUX
iassist-979	141	8	estimated	estimate	VERB
iassist-979	141	9	to	to	PART
iassist-979	141	10	have	have	VERB
iassist-979	141	11	a	a	DET
iassist-979	141	12	minimum	minimum	NOUN
iassist-979	141	13	of	of	ADP
iassist-979	141	14	369	369	NUM
iassist-979	141	15	data	datum	NOUN
iassist-979	141	16	twins	twin	NOUN
iassist-979	141	17	in	in	ADP
iassist-979	141	18	the	the	DET
iassist-979	141	19	general	general	ADJ
iassist-979	141	20	population	population	NOUN
iassist-979	141	21	.	.	PUNCT
iassist-979	142	1	even	even	ADV
iassist-979	142	2	though	though	SCONJ
iassist-979	142	3	we	we	PRON
iassist-979	142	4	did	do	AUX
iassist-979	142	5	not	not	PART
iassist-979	142	6	come	come	VERB
iassist-979	142	7	close	close	ADV
iassist-979	142	8	to	to	ADP
iassist-979	142	9	achieving	achieve	VERB
iassist-979	142	10	k	k	NOUN
iassist-979	142	11	-	-	NOUN
iassist-979	142	12	anonymity	anonymity	NOUN
iassist-979	142	13	with	with	ADP
iassist-979	142	14	this	this	DET
iassist-979	142	15	set	set	NOUN
iassist-979	142	16	of	of	ADP
iassist-979	142	17	variables	variable	NOUN
iassist-979	142	18	,	,	PUNCT
iassist-979	142	19	the	the	DET
iassist-979	142	20	sampling	sample	VERB
iassist-979	142	21	factor	factor	NOUN
iassist-979	142	22	means	mean	VERB
iassist-979	142	23	that	that	SCONJ
iassist-979	142	24	even	even	ADV
iassist-979	142	25	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	142	26	7/13	7/13	NUM
iassist-979	142	27	thompson	thompson	NOUN
iassist-979	142	28	,	,	PUNCT
iassist-979	142	29	kristi	kristi	PROPN
iassist-979	142	30	and	and	CCONJ
iassist-979	142	31	sullivan	sullivan	PROPN
iassist-979	142	32	,	,	PUNCT
iassist-979	142	33	carolyn	carolyn	PROPN
iassist-979	142	34	(	(	PUNCT
iassist-979	142	35	2020	2020	NUM
iassist-979	142	36	)	)	PUNCT
iassist-979	142	37	mathematics	mathematic	NOUN
iassist-979	142	38	,	,	PUNCT
iassist-979	142	39	risk	risk	NOUN
iassist-979	142	40	,	,	PUNCT
iassist-979	142	41	and	and	CCONJ
iassist-979	142	42	messy	messy	ADJ
iassist-979	142	43	survey	survey	NOUN
iassist-979	142	44	data	datum	NOUN
iassist-979	142	45	,	,	PUNCT
iassist-979	142	46	iassist	iassist	VERB
iassist-979	142	47	quarterly	quarterly	ADJ
iassist-979	142	48	44(4	44(4	NOUN
iassist-979	142	49	)	)	PUNCT
iassist-979	142	50	,	,	PUNCT
iassist-979	142	51	pp	pp	ADP
iassist-979	142	52	.	.	PUNCT
iassist-979	143	1	1	1	NUM
iassist-979	143	2	-	-	SYM
iassist-979	143	3	13	13	NUM
iassist-979	143	4	.	.	PUNCT
iassist-979	144	1	doi	doi	NOUN
iassist-979	144	2	:	:	PUNCT
iassist-979	144	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	144	4	with	with	ADP
iassist-979	144	5	the	the	DET
iassist-979	144	6	region	region	NOUN
iassist-979	144	7	variable	variable	NOUN
iassist-979	144	8	this	this	DET
iassist-979	144	9	dataset	dataset	NOUN
iassist-979	144	10	is	be	AUX
iassist-979	144	11	low	low	ADJ
iassist-979	144	12	risk	risk	NOUN
iassist-979	144	13	,	,	PUNCT
iassist-979	144	14	with	with	ADP
iassist-979	144	15	a	a	DET
iassist-979	144	16	population	population	NOUN
iassist-979	144	17	reidentification	reidentification	NOUN
iassist-979	144	18	risk	risk	NOUN
iassist-979	144	19	of	of	ADP
iassist-979	144	20	at	at	ADP
iassist-979	144	21	most	most	ADJ
iassist-979	144	22	1/370	1/370	NUM
iassist-979	144	23	for	for	ADP
iassist-979	144	24	the	the	DET
iassist-979	144	25	riskiest	risky	ADJ
iassist-979	144	26	case	case	NOUN
iassist-979	144	27	,	,	PUNCT
iassist-979	144	28	rather	rather	ADV
iassist-979	144	29	than	than	ADP
iassist-979	144	30	the	the	DET
iassist-979	144	31	sample	sample	NOUN
iassist-979	144	32	estimated	estimate	VERB
iassist-979	144	33	risk	risk	NOUN
iassist-979	144	34	of	of	ADP
iassist-979	144	35	1	1	NUM
iassist-979	144	36	.	.	PUNCT
iassist-979	145	1	the	the	DET
iassist-979	145	2	approach	approach	NOUN
iassist-979	145	3	outlined	outline	VERB
iassist-979	145	4	here	here	ADV
iassist-979	145	5	is	be	AUX
iassist-979	145	6	straightforward	straightforward	ADJ
iassist-979	145	7	to	to	PART
iassist-979	145	8	implement	implement	VERB
iassist-979	145	9	and	and	CCONJ
iassist-979	145	10	may	may	AUX
iassist-979	145	11	provide	provide	VERB
iassist-979	145	12	a	a	DET
iassist-979	145	13	good	good	ADJ
iassist-979	145	14	option	option	NOUN
iassist-979	145	15	for	for	ADP
iassist-979	145	16	estimating	estimate	VERB
iassist-979	145	17	population	population	NOUN
iassist-979	145	18	risk	risk	NOUN
iassist-979	145	19	in	in	ADP
iassist-979	145	20	appropriate	appropriate	ADJ
iassist-979	145	21	cases	case	NOUN
iassist-979	145	22	.	.	PUNCT
iassist-979	146	1	this	this	DET
iassist-979	146	2	approach	approach	NOUN
iassist-979	146	3	will	will	AUX
iassist-979	146	4	only	only	ADV
iassist-979	146	5	work	work	VERB
iassist-979	146	6	if	if	SCONJ
iassist-979	146	7	the	the	DET
iassist-979	146	8	sample	sample	NOUN
iassist-979	146	9	is	be	AUX
iassist-979	146	10	drawn	draw	VERB
iassist-979	146	11	from	from	ADP
iassist-979	146	12	a	a	DET
iassist-979	146	13	known	know	VERB
iassist-979	146	14	population	population	NOUN
iassist-979	146	15	,	,	PUNCT
iassist-979	146	16	there	there	PRON
iassist-979	146	17	exists	exist	VERB
iassist-979	146	18	a	a	DET
iassist-979	146	19	survey	survey	NOUN
iassist-979	146	20	or	or	CCONJ
iassist-979	146	21	census	census	NOUN
iassist-979	146	22	that	that	PRON
iassist-979	146	23	can	can	AUX
iassist-979	146	24	be	be	AUX
iassist-979	146	25	weighted	weight	VERB
iassist-979	146	26	to	to	ADP
iassist-979	146	27	that	that	DET
iassist-979	146	28	population	population	NOUN
iassist-979	146	29	,	,	PUNCT
iassist-979	146	30	and	and	CCONJ
iassist-979	146	31	that	that	DET
iassist-979	146	32	survey	survey	NOUN
iassist-979	146	33	contains	contain	VERB
iassist-979	146	34	the	the	DET
iassist-979	146	35	correct	correct	ADJ
iassist-979	146	36	set	set	NOUN
iassist-979	146	37	of	of	ADP
iassist-979	146	38	demographic	demographic	ADJ
iassist-979	146	39	variables	variable	NOUN
iassist-979	146	40	.	.	PUNCT
iassist-979	147	1	in	in	ADP
iassist-979	147	2	sample	sample	NOUN
iassist-979	147	3	surveys	survey	NOUN
iassist-979	147	4	of	of	ADP
iassist-979	147	5	some	some	DET
iassist-979	147	6	clearly	clearly	ADV
iassist-979	147	7	defined	define	VERB
iassist-979	147	8	subset	subset	NOUN
iassist-979	147	9	of	of	ADP
iassist-979	147	10	the	the	DET
iassist-979	147	11	general	general	ADJ
iassist-979	147	12	population	population	NOUN
iassist-979	147	13	,	,	PUNCT
iassist-979	147	14	a	a	DET
iassist-979	147	15	national	national	ADJ
iassist-979	147	16	census	census	NOUN
iassist-979	147	17	may	may	AUX
iassist-979	147	18	be	be	AUX
iassist-979	147	19	an	an	DET
iassist-979	147	20	appropriate	appropriate	ADJ
iassist-979	147	21	choice	choice	NOUN
iassist-979	147	22	,	,	PUNCT
iassist-979	147	23	although	although	SCONJ
iassist-979	147	24	other	other	ADJ
iassist-979	147	25	large	large	ADJ
iassist-979	147	26	,	,	PUNCT
iassist-979	147	27	nationally	nationally	ADV
iassist-979	147	28	representative	representative	ADJ
iassist-979	147	29	surveys	survey	NOUN
iassist-979	147	30	might	might	AUX
iassist-979	147	31	be	be	AUX
iassist-979	147	32	used	use	VERB
iassist-979	147	33	.	.	PUNCT
iassist-979	148	1	surveys	survey	NOUN
iassist-979	148	2	of	of	ADP
iassist-979	148	3	smaller	small	ADJ
iassist-979	148	4	and	and	CCONJ
iassist-979	148	5	more	more	ADV
iassist-979	148	6	distinct	distinct	ADJ
iassist-979	148	7	populations	population	NOUN
iassist-979	148	8	that	that	PRON
iassist-979	148	9	do	do	AUX
iassist-979	148	10	not	not	PART
iassist-979	148	11	approximate	approximate	VERB
iassist-979	148	12	a	a	DET
iassist-979	148	13	national	national	ADJ
iassist-979	148	14	sample	sample	NOUN
iassist-979	148	15	of	of	ADP
iassist-979	148	16	the	the	DET
iassist-979	148	17	general	general	ADJ
iassist-979	148	18	population	population	NOUN
iassist-979	148	19	or	or	CCONJ
iassist-979	148	20	a	a	DET
iassist-979	148	21	national	national	ADJ
iassist-979	148	22	sample	sample	NOUN
iassist-979	148	23	of	of	ADP
iassist-979	148	24	a	a	DET
iassist-979	148	25	readily	readily	ADV
iassist-979	148	26	defined	define	VERB
iassist-979	148	27	subset	subset	NOUN
iassist-979	148	28	of	of	ADP
iassist-979	148	29	the	the	DET
iassist-979	148	30	national	national	ADJ
iassist-979	148	31	population	population	NOUN
iassist-979	148	32	are	be	AUX
iassist-979	148	33	inherently	inherently	ADV
iassist-979	148	34	of	of	ADP
iassist-979	148	35	higher	high	ADJ
iassist-979	148	36	risk	risk	NOUN
iassist-979	148	37	and	and	CCONJ
iassist-979	148	38	can	can	AUX
iassist-979	148	39	not	not	PART
iassist-979	148	40	have	have	VERB
iassist-979	148	41	their	their	PRON
iassist-979	148	42	population	population	NOUN
iassist-979	148	43	risk	risk	NOUN
iassist-979	148	44	threshold	threshold	NOUN
iassist-979	148	45	estimated	estimate	VERB
iassist-979	148	46	using	use	VERB
iassist-979	148	47	a	a	DET
iassist-979	148	48	national	national	ADJ
iassist-979	148	49	sample	sample	NOUN
iassist-979	148	50	.	.	PUNCT
iassist-979	149	1	in	in	ADP
iassist-979	149	2	cases	case	NOUN
iassist-979	149	3	of	of	ADP
iassist-979	149	4	relatively	relatively	ADV
iassist-979	149	5	small	small	ADJ
iassist-979	149	6	samples	sample	NOUN
iassist-979	149	7	of	of	ADP
iassist-979	149	8	a	a	DET
iassist-979	149	9	defined	define	VERB
iassist-979	149	10	population	population	NOUN
iassist-979	149	11	it	it	PRON
iassist-979	149	12	is	be	AUX
iassist-979	149	13	reasonable	reasonable	ADJ
iassist-979	149	14	to	to	PART
iassist-979	149	15	enforce	enforce	VERB
iassist-979	149	16	kanonymity	kanonymity	NOUN
iassist-979	149	17	with	with	ADP
iassist-979	149	18	a	a	DET
iassist-979	149	19	k	k	NOUN
iassist-979	149	20	of	of	ADP
iassist-979	149	21	5	5	NUM
iassist-979	149	22	,	,	PUNCT
iassist-979	149	23	while	while	SCONJ
iassist-979	149	24	relying	rely	VERB
iassist-979	149	25	on	on	ADP
iassist-979	149	26	the	the	DET
iassist-979	149	27	sampling	sample	VERB
iassist-979	149	28	factor	factor	NOUN
iassist-979	149	29	to	to	PART
iassist-979	149	30	deal	deal	VERB
iassist-979	149	31	with	with	ADP
iassist-979	149	32	the	the	DET
iassist-979	149	33	concern	concern	NOUN
iassist-979	149	34	of	of	ADP
iassist-979	149	35	revealing	reveal	VERB
iassist-979	149	36	opinions	opinion	NOUN
iassist-979	149	37	or	or	CCONJ
iassist-979	149	38	attributes	attribute	NOUN
iassist-979	149	39	within	within	ADP
iassist-979	149	40	equivalence	equivalence	NOUN
iassist-979	149	41	classes	class	NOUN
iassist-979	149	42	.	.	PUNCT
iassist-979	150	1	if	if	SCONJ
iassist-979	150	2	a	a	DET
iassist-979	150	3	survey	survey	NOUN
iassist-979	150	4	is	be	AUX
iassist-979	150	5	a	a	DET
iassist-979	150	6	complete	complete	ADJ
iassist-979	150	7	sample	sample	NOUN
iassist-979	150	8	of	of	ADP
iassist-979	150	9	some	some	DET
iassist-979	150	10	defined	define	VERB
iassist-979	150	11	population	population	NOUN
iassist-979	150	12	(	(	PUNCT
iassist-979	150	13	e.g.	e.g.	ADV
iassist-979	150	14	every	every	DET
iassist-979	150	15	person	person	NOUN
iassist-979	150	16	attending	attend	VERB
iassist-979	150	17	a	a	DET
iassist-979	150	18	school	school	NOUN
iassist-979	150	19	)	)	PUNCT
iassist-979	150	20	or	or	CCONJ
iassist-979	150	21	a	a	DET
iassist-979	150	22	large	large	ADJ
iassist-979	150	23	fraction	fraction	NOUN
iassist-979	150	24	of	of	ADP
iassist-979	150	25	that	that	DET
iassist-979	150	26	population	population	NOUN
iassist-979	150	27	then	then	ADV
iassist-979	150	28	the	the	DET
iassist-979	150	29	dataset	dataset	NOUN
iassist-979	150	30	is	be	AUX
iassist-979	150	31	of	of	ADP
iassist-979	150	32	very	very	ADV
iassist-979	150	33	high	high	ADJ
iassist-979	150	34	risk	risk	NOUN
iassist-979	150	35	and	and	CCONJ
iassist-979	150	36	should	should	AUX
iassist-979	150	37	only	only	ADV
iassist-979	150	38	be	be	AUX
iassist-979	150	39	shared	share	VERB
iassist-979	150	40	with	with	ADP
iassist-979	150	41	extreme	extreme	ADJ
iassist-979	150	42	caution	caution	NOUN
iassist-979	150	43	regarding	regard	VERB
iassist-979	150	44	presence	presence	NOUN
iassist-979	150	45	of	of	ADP
iassist-979	150	46	quasi	quasi	NOUN
iassist-979	150	47	-	-	NOUN
iassist-979	150	48	identifiers	identifier	NOUN
iassist-979	150	49	,	,	PUNCT
iassist-979	150	50	if	if	SCONJ
iassist-979	150	51	it	it	PRON
iassist-979	150	52	contains	contain	VERB
iassist-979	150	53	no	no	DET
iassist-979	150	54	sensitive	sensitive	ADJ
iassist-979	150	55	information	information	NOUN
iassist-979	150	56	,	,	PUNCT
iassist-979	150	57	or	or	CCONJ
iassist-979	150	58	if	if	SCONJ
iassist-979	150	59	the	the	DET
iassist-979	150	60	survey	survey	NOUN
iassist-979	150	61	respondents	respondent	NOUN
iassist-979	150	62	were	be	AUX
iassist-979	150	63	not	not	PART
iassist-979	150	64	promised	promise	VERB
iassist-979	150	65	confidentiality	confidentiality	NOUN
iassist-979	150	66	.	.	PUNCT
iassist-979	151	1	drinking	drink	VERB
iassist-979	151	2	water	water	NOUN
iassist-979	151	3	quality	quality	NOUN
iassist-979	151	4	survey	survey	NOUN
iassist-979	151	5	in	in	ADP
iassist-979	151	6	addition	addition	NOUN
iassist-979	151	7	to	to	ADP
iassist-979	151	8	anonymity	anonymity	NOUN
iassist-979	151	9	testing	testing	NOUN
iassist-979	151	10	using	use	VERB
iassist-979	151	11	the	the	DET
iassist-979	151	12	type	type	NOUN
iassist-979	151	13	of	of	ADP
iassist-979	151	14	statistical	statistical	ADJ
iassist-979	151	15	disclosure	disclosure	NOUN
iassist-979	151	16	risk	risk	NOUN
iassist-979	151	17	assessment	assessment	NOUN
iassist-979	151	18	exemplified	exemplify	VERB
iassist-979	151	19	by	by	ADP
iassist-979	151	20	k	k	PROPN
iassist-979	151	21	-	-	NOUN
iassist-979	151	22	anonymity	anonymity	NOUN
iassist-979	151	23	,	,	PUNCT
iassist-979	151	24	a	a	DET
iassist-979	151	25	researcher	researcher	NOUN
iassist-979	151	26	may	may	AUX
iassist-979	151	27	also	also	ADV
iassist-979	151	28	attempt	attempt	VERB
iassist-979	151	29	to	to	PART
iassist-979	151	30	check	check	VERB
iassist-979	151	31	the	the	DET
iassist-979	151	32	sensitivity	sensitivity	NOUN
iassist-979	151	33	of	of	ADP
iassist-979	151	34	a	a	DET
iassist-979	151	35	dataset	dataset	NOUN
iassist-979	151	36	to	to	ADP
iassist-979	151	37	identity	identity	NOUN
iassist-979	151	38	disclosure	disclosure	NOUN
iassist-979	151	39	through	through	ADP
iassist-979	151	40	penetration	penetration	NOUN
iassist-979	151	41	testing	testing	NOUN
iassist-979	151	42	,	,	PUNCT
iassist-979	151	43	as	as	SCONJ
iassist-979	151	44	the	the	DET
iassist-979	151	45	second	second	ADJ
iassist-979	151	46	co	co	NOUN
iassist-979	151	47	-	-	NOUN
iassist-979	151	48	author	author	NOUN
iassist-979	151	49	will	will	AUX
iassist-979	151	50	demonstrate	demonstrate	VERB
iassist-979	151	51	in	in	ADP
iassist-979	151	52	our	our	PRON
iassist-979	151	53	next	next	ADJ
iassist-979	151	54	example	example	NOUN
iassist-979	151	55	.	.	PUNCT
iassist-979	152	1	a	a	DET
iassist-979	152	2	series	series	NOUN
iassist-979	152	3	of	of	ADP
iassist-979	152	4	surveys	survey	NOUN
iassist-979	152	5	completed	complete	VERB
iassist-979	152	6	by	by	ADP
iassist-979	152	7	ekos	ekos	ADJ
iassist-979	152	8	research	research	NOUN
iassist-979	152	9	for	for	ADP
iassist-979	152	10	health	health	PROPN
iassist-979	152	11	canada	canada	PROPN
iassist-979	152	12	in	in	ADP
iassist-979	152	13	collaboration	collaboration	NOUN
iassist-979	152	14	with	with	ADP
iassist-979	152	15	indian	indian	ADJ
iassist-979	152	16	and	and	CCONJ
iassist-979	152	17	northern	northern	ADJ
iassist-979	152	18	affairs	affairs	PROPN
iassist-979	152	19	canada	canada	PROPN
iassist-979	152	20	during	during	ADP
iassist-979	152	21	2007	2007	NUM
iassist-979	152	22	,	,	PUNCT
iassist-979	152	23	2009	2009	NUM
iassist-979	152	24	,	,	PUNCT
iassist-979	152	25	and	and	CCONJ
iassist-979	152	26	2011	2011	NUM
iassist-979	152	27	assessed	assessed	ADJ
iassist-979	152	28	water	water	NOUN
iassist-979	152	29	quality	quality	NOUN
iassist-979	152	30	on	on	ADP
iassist-979	152	31	first	first	ADJ
iassist-979	152	32	nations	nation	NOUN
iassist-979	152	33	reserves	reserve	NOUN
iassist-979	152	34	and	and	CCONJ
iassist-979	152	35	rural	rural	ADJ
iassist-979	152	36	communities	community	NOUN
iassist-979	152	37	(	(	PUNCT
iassist-979	152	38	ekos	ekos	PROPN
iassist-979	152	39	research	research	NOUN
iassist-979	152	40	associates	associate	NOUN
iassist-979	152	41	,	,	PUNCT
iassist-979	152	42	2011	2011	NUM
iassist-979	152	43	)	)	PUNCT
iassist-979	152	44	.	.	PUNCT
iassist-979	153	1	here	here	ADV
iassist-979	153	2	we	we	PRON
iassist-979	153	3	will	will	AUX
iassist-979	153	4	consider	consider	VERB
iassist-979	153	5	data	datum	NOUN
iassist-979	153	6	from	from	ADP
iassist-979	153	7	the	the	DET
iassist-979	153	8	2007	2007	NUM
iassist-979	153	9	survey	survey	NOUN
iassist-979	153	10	.	.	PUNCT
iassist-979	154	1	demographic	demographic	ADJ
iassist-979	154	2	data	datum	NOUN
iassist-979	154	3	collected	collect	VERB
iassist-979	154	4	from	from	ADP
iassist-979	154	5	survey	survey	NOUN
iassist-979	154	6	participants	participant	NOUN
iassist-979	154	7	included	include	VERB
iassist-979	154	8	their	their	PRON
iassist-979	154	9	year	year	NOUN
iassist-979	154	10	of	of	ADP
iassist-979	154	11	birth	birth	NOUN
iassist-979	154	12	/	/	SYM
iassist-979	154	13	age	age	NOUN
iassist-979	154	14	,	,	PUNCT
iassist-979	154	15	a	a	DET
iassist-979	154	16	binary	binary	ADJ
iassist-979	154	17	gender	gender	NOUN
iassist-979	154	18	,	,	PUNCT
iassist-979	154	19	linguistic	linguistic	ADJ
iassist-979	154	20	preference	preference	NOUN
iassist-979	154	21	(	(	PUNCT
iassist-979	154	22	english	english	PROPN
iassist-979	154	23	/	/	SYM
iassist-979	154	24	french	french	PROPN
iassist-979	154	25	)	)	PUNCT
iassist-979	154	26	,	,	PUNCT
iassist-979	154	27	aboriginal	aboriginal	ADJ
iassist-979	154	28	status	status	NOUN
iassist-979	154	29	,	,	PUNCT
iassist-979	154	30	whether	whether	SCONJ
iassist-979	154	31	they	they	PRON
iassist-979	154	32	lived	live	VERB
iassist-979	154	33	on	on	ADP
iassist-979	154	34	or	or	CCONJ
iassist-979	154	35	off	off	ADP
iassist-979	154	36	reserve	reserve	NOUN
iassist-979	154	37	for	for	ADP
iassist-979	154	38	at	at	ADV
iassist-979	154	39	least	least	ADV
iassist-979	154	40	six	six	NUM
iassist-979	154	41	months	month	NOUN
iassist-979	154	42	of	of	ADP
iassist-979	154	43	the	the	DET
iassist-979	154	44	year	year	NOUN
iassist-979	154	45	,	,	PUNCT
iassist-979	154	46	the	the	DET
iassist-979	154	47	number	number	NOUN
iassist-979	154	48	of	of	ADP
iassist-979	154	49	persons	person	NOUN
iassist-979	154	50	in	in	ADP
iassist-979	154	51	their	their	PRON
iassist-979	154	52	household	household	NOUN
iassist-979	154	53	,	,	PUNCT
iassist-979	154	54	number	number	NOUN
iassist-979	154	55	and	and	CCONJ
iassist-979	154	56	age	age	NOUN
iassist-979	154	57	by	by	ADP
iassist-979	154	58	category	category	NOUN
iassist-979	154	59	of	of	ADP
iassist-979	154	60	dependent	dependent	ADJ
iassist-979	154	61	children	child	NOUN
iassist-979	154	62	,	,	PUNCT
iassist-979	154	63	number	number	NOUN
iassist-979	154	64	of	of	ADP
iassist-979	154	65	seniors	senior	NOUN
iassist-979	154	66	and	and	CCONJ
iassist-979	154	67	vulnerable	vulnerable	ADJ
iassist-979	154	68	adults	adult	NOUN
iassist-979	154	69	in	in	ADP
iassist-979	154	70	their	their	PRON
iassist-979	154	71	household	household	NOUN
iassist-979	154	72	,	,	PUNCT
iassist-979	154	73	and	and	CCONJ
iassist-979	154	74	whether	whether	SCONJ
iassist-979	154	75	their	their	PRON
iassist-979	154	76	home	home	NOUN
iassist-979	154	77	was	be	AUX
iassist-979	154	78	used	use	VERB
iassist-979	154	79	as	as	ADP
iassist-979	154	80	a	a	DET
iassist-979	154	81	daycare	daycare	NOUN
iassist-979	154	82	facility	facility	NOUN
iassist-979	154	83	.	.	PUNCT
iassist-979	155	1	ekos	ekos	PROPN
iassist-979	155	2	also	also	ADV
iassist-979	155	3	collected	collect	VERB
iassist-979	155	4	information	information	NOUN
iassist-979	155	5	on	on	ADP
iassist-979	155	6	their	their	PRON
iassist-979	155	7	place	place	NOUN
iassist-979	155	8	of	of	ADP
iassist-979	155	9	residence	residence	NOUN
iassist-979	155	10	,	,	PUNCT
iassist-979	155	11	including	include	VERB
iassist-979	155	12	whether	whether	SCONJ
iassist-979	155	13	a	a	DET
iassist-979	155	14	drinking	drinking	NOUN
iassist-979	155	15	or	or	CCONJ
iassist-979	155	16	boil	boil	VERB
iassist-979	155	17	water	water	NOUN
iassist-979	155	18	advisory	advisory	NOUN
iassist-979	155	19	was	be	AUX
iassist-979	155	20	currently	currently	ADV
iassist-979	155	21	in	in	ADP
iassist-979	155	22	effect	effect	NOUN
iassist-979	155	23	for	for	ADP
iassist-979	155	24	their	their	PRON
iassist-979	155	25	region	region	NOUN
iassist-979	155	26	,	,	PUNCT
iassist-979	155	27	how	how	SCONJ
iassist-979	155	28	many	many	ADJ
iassist-979	155	29	times	time	NOUN
iassist-979	155	30	their	their	PRON
iassist-979	155	31	community	community	NOUN
iassist-979	155	32	had	have	AUX
iassist-979	155	33	been	be	AUX
iassist-979	155	34	under	under	ADP
iassist-979	155	35	a	a	DET
iassist-979	155	36	drinking	drinking	NOUN
iassist-979	155	37	or	or	CCONJ
iassist-979	155	38	boil	boil	VERB
iassist-979	155	39	water	water	NOUN
iassist-979	155	40	advisory	advisory	NOUN
iassist-979	155	41	during	during	ADP
iassist-979	155	42	the	the	DET
iassist-979	155	43	past	past	ADJ
iassist-979	155	44	five	five	NUM
iassist-979	155	45	years	year	NOUN
iassist-979	155	46	,	,	PUNCT
iassist-979	155	47	forward	forward	ADJ
iassist-979	155	48	sortation	sortation	NOUN
iassist-979	155	49	area	area	NOUN
iassist-979	155	50	(	(	PUNCT
iassist-979	155	51	fsa	fsa	PROPN
iassist-979	155	52	)	)	PUNCT
iassist-979	155	53	(	(	PUNCT
iassist-979	155	54	a	a	DET
iassist-979	155	55	grouping	grouping	NOUN
iassist-979	155	56	of	of	ADP
iassist-979	155	57	postal	postal	ADJ
iassist-979	155	58	codes	code	NOUN
iassist-979	155	59	often	often	ADV
iassist-979	155	60	used	use	VERB
iassist-979	155	61	for	for	ADP
iassist-979	155	62	releasing	release	VERB
iassist-979	155	63	census	census	NOUN
iassist-979	155	64	information	information	NOUN
iassist-979	155	65	in	in	ADP
iassist-979	155	66	canada	canada	PROPN
iassist-979	155	67	)	)	PUNCT
iassist-979	155	68	,	,	PUNCT
iassist-979	155	69	province	province	NOUN
iassist-979	155	70	of	of	ADP
iassist-979	155	71	residence	residence	NOUN
iassist-979	155	72	,	,	PUNCT
iassist-979	155	73	rural	rural	ADJ
iassist-979	155	74	/	/	SYM
iassist-979	155	75	urban	urban	ADJ
iassist-979	155	76	status	status	NOUN
iassist-979	155	77	,	,	PUNCT
iassist-979	155	78	their	their	PRON
iassist-979	155	79	distance	distance	NOUN
iassist-979	155	80	from	from	ADP
iassist-979	155	81	the	the	DET
iassist-979	155	82	nearest	near	ADJ
iassist-979	155	83	city	city	NOUN
iassist-979	155	84	,	,	PUNCT
iassist-979	155	85	and	and	CCONJ
iassist-979	155	86	the	the	DET
iassist-979	155	87	population	population	NOUN
iassist-979	155	88	of	of	ADP
iassist-979	155	89	their	their	PRON
iassist-979	155	90	community	community	NOUN
iassist-979	155	91	.	.	PUNCT
iassist-979	156	1	as	as	ADP
iassist-979	156	2	with	with	ADP
iassist-979	156	3	the	the	DET
iassist-979	156	4	nads	nad	NOUN
iassist-979	156	5	survey	survey	NOUN
iassist-979	156	6	,	,	PUNCT
iassist-979	156	7	special	special	ADJ
iassist-979	156	8	attention	attention	NOUN
iassist-979	156	9	must	must	AUX
iassist-979	156	10	be	be	AUX
iassist-979	156	11	taken	take	VERB
iassist-979	156	12	to	to	PART
iassist-979	156	13	prevent	prevent	VERB
iassist-979	156	14	re	re	NOUN
iassist-979	156	15	-	-	NOUN
iassist-979	156	16	identification	identification	NOUN
iassist-979	156	17	of	of	ADP
iassist-979	156	18	survey	survey	NOUN
iassist-979	156	19	participants	participant	NOUN
iassist-979	156	20	,	,	PUNCT
iassist-979	156	21	though	though	SCONJ
iassist-979	156	22	for	for	ADP
iassist-979	156	23	different	different	ADJ
iassist-979	156	24	reasons	reason	NOUN
iassist-979	156	25	even	even	ADV
iassist-979	156	26	beyond	beyond	ADP
iassist-979	156	27	the	the	DET
iassist-979	156	28	usual	usual	ADJ
iassist-979	156	29	promise	promise	NOUN
iassist-979	156	30	of	of	ADP
iassist-979	156	31	confidentiality	confidentiality	NOUN
iassist-979	156	32	given	give	VERB
iassist-979	156	33	to	to	PART
iassist-979	156	34	survey	survey	VERB
iassist-979	156	35	respondents	respondent	NOUN
iassist-979	156	36	.	.	PUNCT
iassist-979	157	1	in	in	SCONJ
iassist-979	157	2	the	the	DET
iassist-979	157	3	nads	nad	NOUN
iassist-979	157	4	dataset	dataset	VERB
iassist-979	157	5	,	,	PUNCT
iassist-979	157	6	full	full	ADJ
iassist-979	157	7	anonymization	anonymization	NOUN
iassist-979	157	8	was	be	AUX
iassist-979	157	9	particularly	particularly	ADV
iassist-979	157	10	important	important	ADJ
iassist-979	157	11	because	because	SCONJ
iassist-979	157	12	of	of	ADP
iassist-979	157	13	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	157	14	8/13	8/13	PROPN
iassist-979	157	15	thompson	thompson	PROPN
iassist-979	157	16	,	,	PUNCT
iassist-979	157	17	kristi	kristi	PROPN
iassist-979	157	18	and	and	CCONJ
iassist-979	157	19	sullivan	sullivan	PROPN
iassist-979	157	20	,	,	PUNCT
iassist-979	157	21	carolyn	carolyn	PROPN
iassist-979	157	22	(	(	PUNCT
iassist-979	157	23	2020	2020	NUM
iassist-979	157	24	)	)	PUNCT
iassist-979	157	25	mathematics	mathematic	NOUN
iassist-979	157	26	,	,	PUNCT
iassist-979	157	27	risk	risk	NOUN
iassist-979	157	28	,	,	PUNCT
iassist-979	157	29	and	and	CCONJ
iassist-979	157	30	messy	messy	ADJ
iassist-979	157	31	survey	survey	NOUN
iassist-979	157	32	data	datum	NOUN
iassist-979	157	33	,	,	PUNCT
iassist-979	157	34	iassist	iassist	VERB
iassist-979	157	35	quarterly	quarterly	ADJ
iassist-979	157	36	44(4	44(4	NOUN
iassist-979	157	37	)	)	PUNCT
iassist-979	157	38	,	,	PUNCT
iassist-979	157	39	pp	pp	ADP
iassist-979	157	40	.	.	PUNCT
iassist-979	158	1	1	1	NUM
iassist-979	158	2	-	-	SYM
iassist-979	158	3	13	13	NUM
iassist-979	158	4	.	.	PUNCT
iassist-979	159	1	doi	doi	NOUN
iassist-979	159	2	:	:	PUNCT
iassist-979	159	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	159	4	the	the	DET
iassist-979	159	5	sensitivity	sensitivity	NOUN
iassist-979	159	6	of	of	ADP
iassist-979	159	7	the	the	DET
iassist-979	159	8	topic	topic	NOUN
iassist-979	159	9	(	(	PUNCT
iassist-979	159	10	illegal	illegal	ADJ
iassist-979	159	11	drugs	drug	NOUN
iassist-979	159	12	)	)	PUNCT
iassist-979	159	13	;	;	PUNCT
iassist-979	159	14	here	here	ADV
iassist-979	159	15	,	,	PUNCT
iassist-979	159	16	anonymization	anonymization	NOUN
iassist-979	159	17	is	be	AUX
iassist-979	159	18	crucial	crucial	ADJ
iassist-979	159	19	due	due	ADP
iassist-979	159	20	to	to	ADP
iassist-979	159	21	the	the	DET
iassist-979	159	22	population	population	NOUN
iassist-979	159	23	being	be	AUX
iassist-979	159	24	considered	consider	VERB
iassist-979	159	25	,	,	PUNCT
iassist-979	159	26	as	as	SCONJ
iassist-979	159	27	first	first	ADJ
iassist-979	159	28	nations	nation	NOUN
iassist-979	159	29	individuals	individual	NOUN
iassist-979	159	30	and	and	CCONJ
iassist-979	159	31	communities	community	NOUN
iassist-979	159	32	have	have	AUX
iassist-979	159	33	been	be	AUX
iassist-979	159	34	systematically	systematically	ADV
iassist-979	159	35	marginalized	marginalize	VERB
iassist-979	159	36	within	within	ADP
iassist-979	159	37	canada	canada	PROPN
iassist-979	159	38	.	.	PUNCT
iassist-979	160	1	as	as	SCONJ
iassist-979	160	2	may	may	AUX
iassist-979	160	3	be	be	AUX
iassist-979	160	4	anticipated	anticipate	VERB
iassist-979	160	5	,	,	PUNCT
iassist-979	160	6	these	these	DET
iassist-979	160	7	data	datum	NOUN
iassist-979	160	8	in	in	ADP
iassist-979	160	9	combination	combination	NOUN
iassist-979	160	10	can	can	AUX
iassist-979	160	11	be	be	AUX
iassist-979	160	12	used	use	VERB
iassist-979	160	13	as	as	ADP
iassist-979	160	14	key	key	ADJ
iassist-979	160	15	variables	variable	NOUN
iassist-979	160	16	by	by	ADP
iassist-979	160	17	a	a	DET
iassist-979	160	18	data	data	NOUN
iassist-979	160	19	intruder	intruder	NOUN
iassist-979	160	20	to	to	PART
iassist-979	160	21	reidentify	reidentify	VERB
iassist-979	160	22	a	a	DET
iassist-979	160	23	survey	survey	NOUN
iassist-979	160	24	participant	participant	NOUN
iassist-979	160	25	.	.	PUNCT
iassist-979	161	1	as	as	SCONJ
iassist-979	161	2	the	the	DET
iassist-979	161	3	location	location	NOUN
iassist-979	161	4	of	of	ADP
iassist-979	161	5	first	first	ADJ
iassist-979	161	6	nations	nation	NOUN
iassist-979	161	7	reserves	reserve	NOUN
iassist-979	161	8	in	in	ADP
iassist-979	161	9	canada	canada	PROPN
iassist-979	161	10	are	be	AUX
iassist-979	161	11	publicly	publicly	ADV
iassist-979	161	12	known	know	VERB
iassist-979	161	13	and	and	CCONJ
iassist-979	161	14	there	there	PRON
iassist-979	161	15	is	be	VERB
iassist-979	161	16	often	often	ADV
iassist-979	161	17	only	only	ADV
iassist-979	161	18	a	a	DET
iassist-979	161	19	single	single	ADJ
iassist-979	161	20	reserve	reserve	NOUN
iassist-979	161	21	within	within	ADP
iassist-979	161	22	a	a	DET
iassist-979	161	23	given	give	VERB
iassist-979	161	24	fsa	fsa	PROPN
iassist-979	161	25	,	,	PUNCT
iassist-979	161	26	a	a	DET
iassist-979	161	27	data	data	NOUN
iassist-979	161	28	intruder	intruder	NOUN
iassist-979	161	29	can	can	AUX
iassist-979	161	30	easily	easily	ADV
iassist-979	161	31	identify	identify	VERB
iassist-979	161	32	the	the	DET
iassist-979	161	33	community	community	NOUN
iassist-979	161	34	of	of	ADP
iassist-979	161	35	origin	origin	NOUN
iassist-979	161	36	for	for	ADP
iassist-979	161	37	participants	participant	NOUN
iassist-979	161	38	who	who	PRON
iassist-979	161	39	identified	identify	VERB
iassist-979	161	40	as	as	ADP
iassist-979	161	41	living	live	VERB
iassist-979	161	42	on	on	ADP
iassist-979	161	43	-	-	PUNCT
iassist-979	161	44	reserve	reserve	NOUN
iassist-979	161	45	.	.	PUNCT
iassist-979	162	1	in	in	ADP
iassist-979	162	2	the	the	DET
iassist-979	162	3	cases	case	NOUN
iassist-979	162	4	for	for	ADP
iassist-979	162	5	which	which	PRON
iassist-979	162	6	there	there	PRON
iassist-979	162	7	are	be	VERB
iassist-979	162	8	multiple	multiple	ADJ
iassist-979	162	9	reserves	reserve	NOUN
iassist-979	162	10	within	within	ADP
iassist-979	162	11	a	a	DET
iassist-979	162	12	given	give	VERB
iassist-979	162	13	fsa	fsa	PROPN
iassist-979	162	14	,	,	PUNCT
iassist-979	162	15	the	the	DET
iassist-979	162	16	data	data	NOUN
iassist-979	162	17	intruder	intruder	NOUN
iassist-979	162	18	may	may	AUX
iassist-979	162	19	still	still	ADV
iassist-979	162	20	discriminate	discriminate	VERB
iassist-979	162	21	between	between	ADP
iassist-979	162	22	candidates	candidate	NOUN
iassist-979	162	23	for	for	ADP
iassist-979	162	24	the	the	DET
iassist-979	162	25	community	community	NOUN
iassist-979	162	26	of	of	ADP
iassist-979	162	27	origin	origin	NOUN
iassist-979	162	28	by	by	ADP
iassist-979	162	29	comparing	compare	VERB
iassist-979	162	30	the	the	DET
iassist-979	162	31	reported	report	VERB
iassist-979	162	32	population	population	NOUN
iassist-979	162	33	of	of	ADP
iassist-979	162	34	the	the	DET
iassist-979	162	35	community	community	NOUN
iassist-979	162	36	against	against	ADP
iassist-979	162	37	the	the	DET
iassist-979	162	38	2006	2006	NUM
iassist-979	162	39	census	census	NOUN
iassist-979	162	40	records	record	NOUN
iassist-979	162	41	,	,	PUNCT
iassist-979	162	42	or	or	CCONJ
iassist-979	162	43	juxtaposing	juxtapose	VERB
iassist-979	162	44	reported	report	VERB
iassist-979	162	45	water	water	NOUN
iassist-979	162	46	advisories	advisory	NOUN
iassist-979	162	47	against	against	ADP
iassist-979	162	48	those	those	PRON
iassist-979	162	49	listed	list	VERB
iassist-979	162	50	in	in	ADP
iassist-979	162	51	old	old	ADJ
iassist-979	162	52	news	news	NOUN
iassist-979	162	53	documents	document	NOUN
iassist-979	162	54	,	,	PUNCT
iassist-979	162	55	data	datum	NOUN
iassist-979	162	56	gathered	gather	VERB
iassist-979	162	57	by	by	ADP
iassist-979	162	58	civic	civic	ADJ
iassist-979	162	59	action	action	NOUN
iassist-979	162	60	groups	group	NOUN
iassist-979	162	61	like	like	ADP
iassist-979	162	62	water	water	NOUN
iassist-979	162	63	today	today	NOUN
iassist-979	162	64	or	or	CCONJ
iassist-979	162	65	the	the	DET
iassist-979	162	66	government	government	NOUN
iassist-979	162	67	of	of	ADP
iassist-979	162	68	canada	canada	PROPN
iassist-979	162	69	’s	’s	PART
iassist-979	162	70	list	list	NOUN
iassist-979	162	71	of	of	ADP
iassist-979	162	72	long	long	ADJ
iassist-979	162	73	-	-	PUNCT
iassist-979	162	74	term	term	NOUN
iassist-979	162	75	water	water	NOUN
iassist-979	162	76	advisories	advisory	NOUN
iassist-979	162	77	(	(	PUNCT
iassist-979	162	78	2020	2020	NUM
iassist-979	162	79	)	)	PUNCT
iassist-979	162	80	.	.	PUNCT
iassist-979	163	1	even	even	ADV
iassist-979	163	2	if	if	SCONJ
iassist-979	163	3	the	the	DET
iassist-979	163	4	data	data	NOUN
iassist-979	163	5	intruder	intruder	NOUN
iassist-979	163	6	is	be	AUX
iassist-979	163	7	unable	unable	ADJ
iassist-979	163	8	to	to	PART
iassist-979	163	9	choose	choose	VERB
iassist-979	163	10	between	between	ADP
iassist-979	163	11	multiple	multiple	ADJ
iassist-979	163	12	candidates	candidate	NOUN
iassist-979	163	13	for	for	ADP
iassist-979	163	14	a	a	DET
iassist-979	163	15	community	community	NOUN
iassist-979	163	16	of	of	ADP
iassist-979	163	17	origin	origin	NOUN
iassist-979	163	18	at	at	ADP
iassist-979	163	19	this	this	DET
iassist-979	163	20	phase	phase	NOUN
iassist-979	163	21	though	though	ADV
iassist-979	163	22	,	,	PUNCT
iassist-979	163	23	the	the	DET
iassist-979	163	24	populations	population	NOUN
iassist-979	163	25	of	of	ADP
iassist-979	163	26	first	first	ADJ
iassist-979	163	27	nations	nation	NOUN
iassist-979	163	28	reserves	reserve	NOUN
iassist-979	163	29	are	be	AUX
iassist-979	163	30	sufficiently	sufficiently	ADV
iassist-979	163	31	small	small	ADJ
iassist-979	163	32	that	that	SCONJ
iassist-979	163	33	individuals	individual	NOUN
iassist-979	163	34	demographically	demographically	ADV
iassist-979	163	35	unique	unique	ADJ
iassist-979	163	36	to	to	ADP
iassist-979	163	37	the	the	DET
iassist-979	163	38	sample	sample	NOUN
iassist-979	163	39	will	will	AUX
iassist-979	163	40	likely	likely	ADV
iassist-979	163	41	be	be	AUX
iassist-979	163	42	unique	unique	ADJ
iassist-979	163	43	to	to	ADP
iassist-979	163	44	the	the	DET
iassist-979	163	45	population	population	NOUN
iassist-979	163	46	of	of	ADP
iassist-979	163	47	a	a	DET
iassist-979	163	48	fsa	fsa	PROPN
iassist-979	163	49	,	,	PUNCT
iassist-979	163	50	especially	especially	ADV
iassist-979	163	51	as	as	SCONJ
iassist-979	163	52	the	the	DET
iassist-979	163	53	population	population	NOUN
iassist-979	163	54	of	of	ADP
iassist-979	163	55	individuals	individual	NOUN
iassist-979	163	56	living	live	VERB
iassist-979	163	57	on	on	ADP
iassist-979	163	58	reserve	reserve	NOUN
iassist-979	163	59	in	in	ADP
iassist-979	163	60	a	a	DET
iassist-979	163	61	fsa	fsa	PROPN
iassist-979	163	62	may	may	AUX
iassist-979	163	63	only	only	ADV
iassist-979	163	64	number	number	VERB
iassist-979	163	65	in	in	ADP
iassist-979	163	66	the	the	DET
iassist-979	163	67	tens	ten	NOUN
iassist-979	163	68	or	or	CCONJ
iassist-979	163	69	hundreds	hundred	NOUN
iassist-979	163	70	.	.	PUNCT
iassist-979	164	1	this	this	DET
iassist-979	164	2	data	datum	NOUN
iassist-979	164	3	in	in	ADP
iassist-979	164	4	its	its	PRON
iassist-979	164	5	original	original	ADJ
iassist-979	164	6	form	form	NOUN
iassist-979	164	7	then	then	ADV
iassist-979	164	8	threatens	threaten	VERB
iassist-979	164	9	the	the	DET
iassist-979	164	10	anonymity	anonymity	NOUN
iassist-979	164	11	of	of	ADP
iassist-979	164	12	survey	survey	NOUN
iassist-979	164	13	participants	participant	NOUN
iassist-979	164	14	as	as	ADP
iassist-979	164	15	individuals	individual	NOUN
iassist-979	164	16	.	.	PUNCT
iassist-979	165	1	it	it	PRON
iassist-979	165	2	is	be	AUX
iassist-979	165	3	also	also	ADV
iassist-979	165	4	worth	worth	ADJ
iassist-979	165	5	noting	note	VERB
iassist-979	165	6	that	that	SCONJ
iassist-979	165	7	even	even	ADV
iassist-979	165	8	if	if	SCONJ
iassist-979	165	9	an	an	DET
iassist-979	165	10	individual	individual	NOUN
iassist-979	165	11	is	be	AUX
iassist-979	165	12	not	not	PART
iassist-979	165	13	sample	sample	NOUN
iassist-979	165	14	-	-	PUNCT
iassist-979	165	15	unique	unique	ADJ
iassist-979	165	16	or	or	CCONJ
iassist-979	165	17	population	population	NOUN
iassist-979	165	18	-	-	PUNCT
iassist-979	165	19	unique	unique	ADJ
iassist-979	165	20	,	,	PUNCT
iassist-979	165	21	if	if	SCONJ
iassist-979	165	22	all	all	DET
iassist-979	165	23	demographically	demographically	ADV
iassist-979	165	24	similar	similar	ADJ
iassist-979	165	25	individuals	individual	NOUN
iassist-979	165	26	can	can	AUX
iassist-979	165	27	be	be	AUX
iassist-979	165	28	located	locate	VERB
iassist-979	165	29	to	to	ADP
iassist-979	165	30	the	the	DET
iassist-979	165	31	same	same	ADJ
iassist-979	165	32	reserve	reserve	NOUN
iassist-979	165	33	,	,	PUNCT
iassist-979	165	34	or	or	CCONJ
iassist-979	165	35	if	if	SCONJ
iassist-979	165	36	all	all	DET
iassist-979	165	37	the	the	DET
iassist-979	165	38	candidate	candidate	NOUN
iassist-979	165	39	reserves	reserve	NOUN
iassist-979	165	40	for	for	ADP
iassist-979	165	41	these	these	DET
iassist-979	165	42	individuals	individual	NOUN
iassist-979	165	43	fall	fall	VERB
iassist-979	165	44	under	under	ADP
iassist-979	165	45	the	the	DET
iassist-979	165	46	same	same	ADJ
iassist-979	165	47	tribal	tribal	ADJ
iassist-979	165	48	governance	governance	NOUN
iassist-979	165	49	,	,	PUNCT
iassist-979	165	50	locating	locate	VERB
iassist-979	165	51	the	the	DET
iassist-979	165	52	participants	participant	NOUN
iassist-979	165	53	’	'	PUNCT
iassist-979	165	54	community	community	NOUN
iassist-979	165	55	of	of	ADP
iassist-979	165	56	origin	origin	NOUN
iassist-979	165	57	may	may	AUX
iassist-979	165	58	still	still	ADV
iassist-979	165	59	pose	pose	VERB
iassist-979	165	60	a	a	DET
iassist-979	165	61	problem	problem	NOUN
iassist-979	165	62	.	.	PUNCT
iassist-979	166	1	historically	historically	ADV
iassist-979	166	2	,	,	PUNCT
iassist-979	166	3	data	datum	NOUN
iassist-979	166	4	on	on	ADP
iassist-979	166	5	first	first	ADJ
iassist-979	166	6	nations	nation	NOUN
iassist-979	166	7	communities	community	NOUN
iassist-979	166	8	has	have	AUX
iassist-979	166	9	influenced	influence	VERB
iassist-979	166	10	perceptions	perception	NOUN
iassist-979	166	11	of	of	ADP
iassist-979	166	12	them	they	PRON
iassist-979	166	13	as	as	ADP
iassist-979	166	14	a	a	DET
iassist-979	166	15	group	group	NOUN
iassist-979	166	16	,	,	PUNCT
iassist-979	166	17	which	which	PRON
iassist-979	166	18	is	be	AUX
iassist-979	166	19	one	one	NUM
iassist-979	166	20	reason	reason	NOUN
iassist-979	166	21	why	why	SCONJ
iassist-979	166	22	the	the	DET
iassist-979	166	23	research	research	NOUN
iassist-979	166	24	principles	principle	NOUN
iassist-979	166	25	of	of	ADP
iassist-979	166	26	ocap4	ocap4	PROPN
iassist-979	166	27	,	,	PUNCT
iassist-979	166	28	standing	stand	VERB
iassist-979	166	29	for	for	ADP
iassist-979	166	30	ownership	ownership	NOUN
iassist-979	166	31	,	,	PUNCT
iassist-979	166	32	control	control	NOUN
iassist-979	166	33	,	,	PUNCT
iassist-979	166	34	access	access	NOUN
iassist-979	166	35	and	and	CCONJ
iassist-979	166	36	possession	possession	NOUN
iassist-979	166	37	were	be	AUX
iassist-979	166	38	developed	develop	VERB
iassist-979	166	39	(	(	PUNCT
iassist-979	166	40	first	first	ADJ
iassist-979	166	41	nations	nations	PROPN
iassist-979	166	42	information	information	NOUN
iassist-979	166	43	governance	governance	NOUN
iassist-979	166	44	centre	centre	NOUN
iassist-979	166	45	,	,	PUNCT
iassist-979	166	46	2014	2014	NUM
iassist-979	166	47	)	)	PUNCT
iassist-979	166	48	;	;	PUNCT
iassist-979	166	49	ocap	ocap	NOUN
iassist-979	166	50	understands	understand	VERB
iassist-979	166	51	ownership	ownership	NOUN
iassist-979	166	52	of	of	ADP
iassist-979	166	53	data	datum	NOUN
iassist-979	166	54	as	as	ADP
iassist-979	166	55	the	the	DET
iassist-979	166	56	collective	collective	ADJ
iassist-979	166	57	responsibility	responsibility	NOUN
iassist-979	166	58	of	of	ADP
iassist-979	166	59	the	the	DET
iassist-979	166	60	first	first	ADJ
iassist-979	166	61	nations	nation	NOUN
iassist-979	166	62	people	people	NOUN
iassist-979	166	63	from	from	ADP
iassist-979	166	64	whom	whom	PRON
iassist-979	166	65	it	it	PRON
iassist-979	166	66	originates	originate	VERB
iassist-979	166	67	.	.	PUNCT
iassist-979	167	1	anonymizing	anonymize	VERB
iassist-979	167	2	this	this	DET
iassist-979	167	3	survey	survey	NOUN
iassist-979	167	4	data	datum	NOUN
iassist-979	167	5	for	for	ADP
iassist-979	167	6	public	public	ADJ
iassist-979	167	7	release	release	NOUN
iassist-979	167	8	should	should	AUX
iassist-979	167	9	then	then	ADV
iassist-979	167	10	ensure	ensure	VERB
iassist-979	167	11	the	the	DET
iassist-979	167	12	community	community	NOUN
iassist-979	167	13	of	of	ADP
iassist-979	167	14	origin	origin	NOUN
iassist-979	167	15	for	for	ADP
iassist-979	167	16	this	this	DET
iassist-979	167	17	data	datum	NOUN
iassist-979	167	18	can	can	AUX
iassist-979	167	19	not	not	PART
iassist-979	167	20	be	be	AUX
iassist-979	167	21	established	establish	VERB
iassist-979	167	22	.	.	PUNCT
iassist-979	168	1	a	a	DET
iassist-979	168	2	naive	naive	ADJ
iassist-979	168	3	attempt	attempt	NOUN
iassist-979	168	4	to	to	PART
iassist-979	168	5	anonymize	anonymize	VERB
iassist-979	168	6	this	this	DET
iassist-979	168	7	survey	survey	NOUN
iassist-979	168	8	may	may	AUX
iassist-979	168	9	assume	assume	VERB
iassist-979	168	10	removal	removal	NOUN
iassist-979	168	11	of	of	ADP
iassist-979	168	12	the	the	DET
iassist-979	168	13	fsa	fsa	PROPN
iassist-979	168	14	to	to	PART
iassist-979	168	15	be	be	AUX
iassist-979	168	16	sufficient	sufficient	ADJ
iassist-979	168	17	.	.	PUNCT
iassist-979	169	1	as	as	SCONJ
iassist-979	169	2	we	we	PRON
iassist-979	169	3	will	will	AUX
iassist-979	169	4	demonstrate	demonstrate	VERB
iassist-979	169	5	,	,	PUNCT
iassist-979	169	6	this	this	DET
iassist-979	169	7	strategy	strategy	NOUN
iassist-979	169	8	underestimates	underestimate	VERB
iassist-979	169	9	the	the	DET
iassist-979	169	10	ability	ability	NOUN
iassist-979	169	11	of	of	ADP
iassist-979	169	12	data	datum	NOUN
iassist-979	169	13	intruders	intruder	NOUN
iassist-979	169	14	to	to	PART
iassist-979	169	15	use	use	VERB
iassist-979	169	16	publicly	publicly	ADV
iassist-979	169	17	available	available	ADJ
iassist-979	169	18	information	information	NOUN
iassist-979	169	19	and	and	CCONJ
iassist-979	169	20	simple	simple	ADJ
iassist-979	169	21	programming	programming	NOUN
iassist-979	169	22	skills	skill	NOUN
iassist-979	169	23	to	to	PART
iassist-979	169	24	recover	recover	VERB
iassist-979	169	25	the	the	DET
iassist-979	169	26	fsa	fsa	PROPN
iassist-979	169	27	from	from	ADP
iassist-979	169	28	still	still	ADV
iassist-979	169	29	-	-	PUNCT
iassist-979	169	30	included	include	VERB
iassist-979	169	31	information	information	NOUN
iassist-979	169	32	on	on	ADP
iassist-979	169	33	distance	distance	NOUN
iassist-979	169	34	to	to	ADP
iassist-979	169	35	the	the	DET
iassist-979	169	36	nearest	near	ADJ
iassist-979	169	37	city	city	NOUN
iassist-979	169	38	through	through	ADP
iassist-979	169	39	data	datum	NOUN
iassist-979	169	40	linkage	linkage	NOUN
iassist-979	169	41	.	.	PUNCT
iassist-979	170	1	by	by	ADP
iassist-979	170	2	way	way	NOUN
iassist-979	170	3	of	of	ADP
iassist-979	170	4	proof	proof	NOUN
iassist-979	170	5	,	,	PUNCT
iassist-979	170	6	my	my	PRON
iassist-979	170	7	co	co	NOUN
iassist-979	170	8	-	-	NOUN
iassist-979	170	9	author	author	NOUN
iassist-979	170	10	and	and	CCONJ
iassist-979	170	11	i	i	PRON
iassist-979	170	12	attempted	attempt	VERB
iassist-979	170	13	an	an	DET
iassist-979	170	14	experiment	experiment	NOUN
iassist-979	170	15	.	.	PUNCT
iassist-979	171	1	she	she	PRON
iassist-979	171	2	presented	present	VERB
iassist-979	171	3	me	i	PRON
iassist-979	171	4	with	with	ADP
iassist-979	171	5	a	a	DET
iassist-979	171	6	dataset	dataset	NOUN
iassist-979	171	7	from	from	ADP
iassist-979	171	8	which	which	PRON
iassist-979	171	9	the	the	DET
iassist-979	171	10	fsas	fsa	NOUN
iassist-979	171	11	had	have	AUX
iassist-979	171	12	been	be	AUX
iassist-979	171	13	suppressed	suppress	VERB
iassist-979	171	14	.	.	PUNCT
iassist-979	172	1	i	i	PRON
iassist-979	172	2	constructed	construct	VERB
iassist-979	172	3	a	a	DET
iassist-979	172	4	database	database	NOUN
iassist-979	172	5	containing	contain	VERB
iassist-979	172	6	the	the	DET
iassist-979	172	7	name	name	NOUN
iassist-979	172	8	,	,	PUNCT
iassist-979	172	9	province	province	NOUN
iassist-979	172	10	,	,	PUNCT
iassist-979	172	11	population	population	NOUN
iassist-979	172	12	,	,	PUNCT
iassist-979	172	13	forward	forward	ADJ
iassist-979	172	14	sortation	sortation	NOUN
iassist-979	172	15	area	area	NOUN
iassist-979	172	16	,	,	PUNCT
iassist-979	172	17	location	location	NOUN
iassist-979	172	18	,	,	PUNCT
iassist-979	172	19	and	and	CCONJ
iassist-979	172	20	distance	distance	NOUN
iassist-979	172	21	to	to	ADP
iassist-979	172	22	the	the	DET
iassist-979	172	23	nearest	near	ADJ
iassist-979	172	24	town	town	NOUN
iassist-979	172	25	with	with	ADP
iassist-979	172	26	population	population	NOUN
iassist-979	172	27	over	over	ADP
iassist-979	172	28	15,000	15,000	NUM
iassist-979	172	29	of	of	ADP
iassist-979	172	30	every	every	DET
iassist-979	172	31	first	first	ADJ
iassist-979	172	32	nations	nation	NOUN
iassist-979	172	33	reserve	reserve	NOUN
iassist-979	172	34	in	in	ADP
iassist-979	172	35	canada	canada	PROPN
iassist-979	172	36	using	use	VERB
iassist-979	172	37	resources	resource	NOUN
iassist-979	172	38	available	available	ADJ
iassist-979	172	39	to	to	ADP
iassist-979	172	40	anyone	anyone	PRON
iassist-979	172	41	,	,	PUNCT
iassist-979	172	42	regardless	regardless	ADV
iassist-979	172	43	of	of	ADP
iassist-979	172	44	academic	academic	ADJ
iassist-979	172	45	or	or	CCONJ
iassist-979	172	46	governmental	governmental	ADJ
iassist-979	172	47	affiliations	affiliation	NOUN
iassist-979	172	48	.	.	PUNCT
iassist-979	173	1	information	information	NOUN
iassist-979	173	2	on	on	ADP
iassist-979	173	3	name	name	NOUN
iassist-979	173	4	,	,	PUNCT
iassist-979	173	5	province	province	NOUN
iassist-979	173	6	,	,	PUNCT
iassist-979	173	7	and	and	CCONJ
iassist-979	173	8	population	population	NOUN
iassist-979	173	9	of	of	ADP
iassist-979	173	10	first	first	ADJ
iassist-979	173	11	nations	nation	NOUN
iassist-979	173	12	reserves	reserve	NOUN
iassist-979	173	13	were	be	AUX
iassist-979	173	14	scraped	scrape	VERB
iassist-979	173	15	from	from	ADP
iassist-979	173	16	wikipedia	wikipedia	PROPN
iassist-979	173	17	pages	page	NOUN
iassist-979	173	18	using	use	VERB
iassist-979	173	19	python	python	NOUN
iassist-979	173	20	and	and	CCONJ
iassist-979	173	21	the	the	DET
iassist-979	173	22	beautifulsoup	beautifulsoup	PROPN
iassist-979	173	23	code	code	NOUN
iassist-979	173	24	library	library	NOUN
iassist-979	173	25	(	(	PUNCT
iassist-979	173	26	richardson	richardson	PROPN
iassist-979	173	27	,	,	PUNCT
iassist-979	173	28	2020	2020	NUM
iassist-979	173	29	)	)	PUNCT
iassist-979	173	30	.	.	PUNCT
iassist-979	174	1	given	give	VERB
iassist-979	174	2	this	this	DET
iassist-979	174	3	information	information	NOUN
iassist-979	174	4	,	,	PUNCT
iassist-979	174	5	i	i	PRON
iassist-979	174	6	then	then	ADV
iassist-979	174	7	used	use	VERB
iassist-979	174	8	the	the	DET
iassist-979	174	9	government	government	NOUN
iassist-979	174	10	of	of	ADP
iassist-979	174	11	canada	canada	PROPN
iassist-979	174	12	’s	’s	PART
iassist-979	174	13	geolocation	geolocation	NOUN
iassist-979	174	14	webservices	webservice	NOUN
iassist-979	174	15	(	(	PUNCT
iassist-979	174	16	2018	2018	NUM
iassist-979	174	17	)	)	PUNCT
iassist-979	174	18	to	to	PART
iassist-979	174	19	find	find	VERB
iassist-979	174	20	the	the	DET
iassist-979	174	21	latitude	latitude	NOUN
iassist-979	174	22	and	and	CCONJ
iassist-979	174	23	longitude	longitude	NOUN
iassist-979	174	24	of	of	ADP
iassist-979	174	25	these	these	DET
iassist-979	174	26	communities	community	NOUN
iassist-979	174	27	.	.	PUNCT
iassist-979	175	1	geonames.org	geonames.org	X
iassist-979	175	2	’s	’s	PART
iassist-979	175	3	findnearbyplacenamejson	findnearbyplacenamejson	NOUN
iassist-979	175	4	and	and	CCONJ
iassist-979	175	5	findnearbypostalcode	findnearbypostalcode	PROPN
iassist-979	175	6	functions	function	NOUN
iassist-979	175	7	(	(	PUNCT
iassist-979	175	8	geonames	geoname	NOUN
iassist-979	175	9	team	team	NOUN
iassist-979	175	10	,	,	PUNCT
iassist-979	175	11	2020	2020	NUM
iassist-979	175	12	)	)	PUNCT
iassist-979	175	13	were	be	AUX
iassist-979	175	14	used	use	VERB
iassist-979	175	15	to	to	PART
iassist-979	175	16	discover	discover	VERB
iassist-979	175	17	the	the	DET
iassist-979	175	18	postal	postal	ADJ
iassist-979	175	19	code	code	NOUN
iassist-979	175	20	of	of	ADP
iassist-979	175	21	each	each	DET
iassist-979	175	22	first	first	PROPN
iassist-979	175	23	nations	nation	NOUN
iassist-979	175	24	reserve	reserve	NOUN
iassist-979	175	25	,	,	PUNCT
iassist-979	175	26	and	and	CCONJ
iassist-979	175	27	their	their	PRON
iassist-979	175	28	straight	straight	ADJ
iassist-979	175	29	-	-	PUNCT
iassist-979	175	30	line	line	NOUN
iassist-979	175	31	distance	distance	NOUN
iassist-979	175	32	to	to	ADP
iassist-979	175	33	the	the	DET
iassist-979	175	34	nearest	near	ADJ
iassist-979	175	35	place	place	NOUN
iassist-979	175	36	with	with	ADP
iassist-979	175	37	population	population	NOUN
iassist-979	175	38	equal	equal	ADJ
iassist-979	175	39	to	to	ADP
iassist-979	175	40	or	or	CCONJ
iassist-979	175	41	greater	great	ADJ
iassist-979	175	42	than	than	ADP
iassist-979	175	43	15000	15000	NUM
iassist-979	175	44	(	(	PUNCT
iassist-979	175	45	this	this	PRON
iassist-979	175	46	being	be	AUX
iassist-979	175	47	the	the	DET
iassist-979	175	48	most	most	ADV
iassist-979	175	49	appropriate	appropriate	ADJ
iassist-979	175	50	filter	filter	NOUN
iassist-979	175	51	accessible	accessible	ADJ
iassist-979	175	52	through	through	ADP
iassist-979	175	53	the	the	DET
iassist-979	175	54	app	app	NOUN
iassist-979	175	55	)	)	PUNCT
iassist-979	175	56	.	.	PUNCT
iassist-979	176	1	having	having	AUX
iassist-979	176	2	created	create	VERB
iassist-979	176	3	this	this	DET
iassist-979	176	4	database	database	NOUN
iassist-979	176	5	,	,	PUNCT
iassist-979	176	6	i	i	PRON
iassist-979	176	7	then	then	ADV
iassist-979	176	8	wrote	write	VERB
iassist-979	176	9	a	a	DET
iassist-979	176	10	programming	programming	NOUN
iassist-979	176	11	script	script	NOUN
iassist-979	176	12	that	that	PRON
iassist-979	176	13	would	would	AUX
iassist-979	176	14	compare	compare	VERB
iassist-979	176	15	the	the	DET
iassist-979	176	16	distanceto	distanceto	NOUN
iassist-979	176	17	-	-	PUNCT
iassist-979	176	18	the	the	DET
iassist-979	176	19	-	-	PUNCT
iassist-979	176	20	nearest	nearest	NOUN
iassist-979	176	21	-	-	PUNCT
iassist-979	176	22	city	city	NOUN
iassist-979	176	23	reported	report	VERB
iassist-979	176	24	by	by	ADP
iassist-979	176	25	each	each	DET
iassist-979	176	26	respondent	respondent	NOUN
iassist-979	176	27	who	who	PRON
iassist-979	176	28	had	have	AUX
iassist-979	176	29	identified	identify	VERB
iassist-979	176	30	as	as	ADP
iassist-979	176	31	living	live	VERB
iassist-979	176	32	on	on	ADP
iassist-979	176	33	reserve	reserve	NOUN
iassist-979	176	34	,	,	PUNCT
iassist-979	176	35	to	to	ADP
iassist-979	176	36	the	the	DET
iassist-979	176	37	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	176	38	9/13	9/13	NUM
iassist-979	176	39	thompson	thompson	PROPN
iassist-979	176	40	,	,	PUNCT
iassist-979	176	41	kristi	kristi	PROPN
iassist-979	176	42	and	and	CCONJ
iassist-979	176	43	sullivan	sullivan	PROPN
iassist-979	176	44	,	,	PUNCT
iassist-979	176	45	carolyn	carolyn	PROPN
iassist-979	176	46	(	(	PUNCT
iassist-979	176	47	2020	2020	NUM
iassist-979	176	48	)	)	PUNCT
iassist-979	176	49	mathematics	mathematic	NOUN
iassist-979	176	50	,	,	PUNCT
iassist-979	176	51	risk	risk	NOUN
iassist-979	176	52	,	,	PUNCT
iassist-979	176	53	and	and	CCONJ
iassist-979	176	54	messy	messy	ADJ
iassist-979	176	55	survey	survey	NOUN
iassist-979	176	56	data	datum	NOUN
iassist-979	176	57	,	,	PUNCT
iassist-979	176	58	iassist	iassist	VERB
iassist-979	176	59	quarterly	quarterly	ADJ
iassist-979	176	60	44(4	44(4	NOUN
iassist-979	176	61	)	)	PUNCT
iassist-979	176	62	,	,	PUNCT
iassist-979	176	63	pp	pp	ADP
iassist-979	176	64	.	.	PUNCT
iassist-979	177	1	1	1	NUM
iassist-979	177	2	-	-	SYM
iassist-979	177	3	13	13	NUM
iassist-979	177	4	.	.	PUNCT
iassist-979	178	1	doi	doi	NOUN
iassist-979	178	2	:	:	PUNCT
iassist-979	178	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	178	4	distance	distance	NOUN
iassist-979	178	5	-	-	PUNCT
iassist-979	178	6	to	to	ADP
iassist-979	178	7	-	-	PUNCT
iassist-979	178	8	the	the	DET
iassist-979	178	9	-	-	PUNCT
iassist-979	178	10	nearest	nearest	NOUN
iassist-979	178	11	-	-	PUNCT
iassist-979	178	12	city	city	NOUN
iassist-979	178	13	for	for	ADP
iassist-979	178	14	each	each	DET
iassist-979	178	15	reserve	reserve	NOUN
iassist-979	178	16	in	in	ADP
iassist-979	178	17	that	that	DET
iassist-979	178	18	respondent	respondent	NOUN
iassist-979	178	19	’s	’s	PART
iassist-979	178	20	province	province	NOUN
iassist-979	178	21	within	within	ADP
iassist-979	178	22	my	my	PRON
iassist-979	178	23	database	database	NOUN
iassist-979	178	24	.	.	PUNCT
iassist-979	179	1	as	as	SCONJ
iassist-979	179	2	the	the	DET
iassist-979	179	3	distance	distance	NOUN
iassist-979	179	4	-	-	PUNCT
iassist-979	179	5	to	to	ADP
iassist-979	179	6	-	-	PUNCT
iassist-979	179	7	the	the	DET
iassist-979	179	8	-	-	PUNCT
iassist-979	179	9	nearest	nearest	NOUN
iassist-979	179	10	-	-	PUNCT
iassist-979	179	11	city	city	NOUN
iassist-979	179	12	recorded	record	VERB
iassist-979	179	13	in	in	ADP
iassist-979	179	14	my	my	PRON
iassist-979	179	15	database	database	NOUN
iassist-979	179	16	was	be	AUX
iassist-979	179	17	a	a	DET
iassist-979	179	18	straight	straight	ADJ
iassist-979	179	19	-	-	PUNCT
iassist-979	179	20	line	line	NOUN
iassist-979	179	21	distance	distance	NOUN
iassist-979	179	22	,	,	PUNCT
iassist-979	179	23	while	while	SCONJ
iassist-979	179	24	that	that	PRON
iassist-979	179	25	reported	report	VERB
iassist-979	179	26	by	by	ADP
iassist-979	179	27	survey	survey	NOUN
iassist-979	179	28	participants	participant	NOUN
iassist-979	179	29	was	be	AUX
iassist-979	179	30	an	an	DET
iassist-979	179	31	estimation	estimation	NOUN
iassist-979	179	32	,	,	PUNCT
iassist-979	179	33	an	an	DET
iassist-979	179	34	exact	exact	ADJ
iassist-979	179	35	match	match	NOUN
iassist-979	179	36	could	could	AUX
iassist-979	179	37	not	not	PART
iassist-979	179	38	be	be	AUX
iassist-979	179	39	expected	expect	VERB
iassist-979	179	40	.	.	PUNCT
iassist-979	180	1	i	i	PRON
iassist-979	180	2	decided	decide	VERB
iassist-979	180	3	then	then	ADV
iassist-979	180	4	to	to	PART
iassist-979	180	5	create	create	VERB
iassist-979	180	6	a	a	DET
iassist-979	180	7	list	list	NOUN
iassist-979	180	8	of	of	ADP
iassist-979	180	9	candidate	candidate	NOUN
iassist-979	180	10	reserves	reserve	NOUN
iassist-979	180	11	for	for	ADP
iassist-979	180	12	each	each	DET
iassist-979	180	13	survey	survey	NOUN
iassist-979	180	14	participant	participant	NOUN
iassist-979	180	15	based	base	VERB
iassist-979	180	16	on	on	ADP
iassist-979	180	17	whether	whether	SCONJ
iassist-979	180	18	their	their	PRON
iassist-979	180	19	estimated	estimate	VERB
iassist-979	180	20	distance	distance	NOUN
iassist-979	180	21	-	-	PUNCT
iassist-979	180	22	to	to	ADP
iassist-979	180	23	-	-	PUNCT
iassist-979	180	24	the	the	DET
iassist-979	180	25	-	-	PUNCT
iassist-979	180	26	nearest	nearest	NOUN
iassist-979	180	27	-	-	PUNCT
iassist-979	180	28	city	city	NOUN
iassist-979	180	29	came	come	VERB
iassist-979	180	30	within	within	ADP
iassist-979	180	31	a	a	DET
iassist-979	180	32	given	give	VERB
iassist-979	180	33	margin	margin	NOUN
iassist-979	180	34	of	of	ADP
iassist-979	180	35	error	error	NOUN
iassist-979	180	36	to	to	ADP
iassist-979	180	37	the	the	DET
iassist-979	180	38	distance	distance	NOUN
iassist-979	180	39	-	-	PUNCT
iassist-979	180	40	to	to	ADP
iassist-979	180	41	-	-	PUNCT
iassist-979	180	42	thenearest	thenearest	NOUN
iassist-979	180	43	-	-	PUNCT
iassist-979	180	44	city	city	NOUN
iassist-979	180	45	recorded	record	VERB
iassist-979	180	46	in	in	ADP
iassist-979	180	47	my	my	PRON
iassist-979	180	48	database	database	NOUN
iassist-979	180	49	.	.	PUNCT
iassist-979	181	1	for	for	ADP
iassist-979	181	2	98	98	NUM
iassist-979	181	3	of	of	ADP
iassist-979	181	4	the	the	DET
iassist-979	181	5	participants	participant	NOUN
iassist-979	181	6	living	live	VERB
iassist-979	181	7	on	on	ADP
iassist-979	181	8	-	-	PUNCT
iassist-979	181	9	reserve	reserve	NOUN
iassist-979	181	10	,	,	PUNCT
iassist-979	181	11	only	only	ADV
iassist-979	181	12	a	a	DET
iassist-979	181	13	single	single	ADJ
iassist-979	181	14	reserve	reserve	NOUN
iassist-979	181	15	appeared	appear	VERB
iassist-979	181	16	possible	possible	ADJ
iassist-979	181	17	for	for	ADP
iassist-979	181	18	their	their	PRON
iassist-979	181	19	location	location	NOUN
iassist-979	181	20	.	.	PUNCT
iassist-979	182	1	when	when	SCONJ
iassist-979	182	2	my	my	PRON
iassist-979	182	3	co	co	NOUN
iassist-979	182	4	-	-	NOUN
iassist-979	182	5	author	author	NOUN
iassist-979	182	6	compared	compare	VERB
iassist-979	182	7	my	my	PRON
iassist-979	182	8	‘	'	PUNCT
iassist-979	182	9	guesses	guess	NOUN
iassist-979	182	10	’	'	PUNCT
iassist-979	182	11	for	for	ADP
iassist-979	182	12	the	the	DET
iassist-979	182	13	fsa	fsa	PROPN
iassist-979	182	14	of	of	ADP
iassist-979	182	15	these	these	DET
iassist-979	182	16	individuals	individual	NOUN
iassist-979	182	17	to	to	ADP
iassist-979	182	18	the	the	DET
iassist-979	182	19	information	information	NOUN
iassist-979	182	20	present	present	ADJ
iassist-979	182	21	in	in	ADP
iassist-979	182	22	the	the	DET
iassist-979	182	23	non	non	ADJ
iassist-979	182	24	-	-	ADJ
iassist-979	182	25	deidentified	deidentifie	VERB
iassist-979	182	26	dataset	dataset	NOUN
iassist-979	182	27	,	,	PUNCT
iassist-979	182	28	25	25	NUM
iassist-979	182	29	%	%	NOUN
iassist-979	182	30	of	of	ADP
iassist-979	182	31	them	they	PRON
iassist-979	182	32	were	be	AUX
iassist-979	182	33	correct	correct	ADJ
iassist-979	182	34	.	.	PUNCT
iassist-979	183	1	while	while	SCONJ
iassist-979	183	2	the	the	DET
iassist-979	183	3	correct	correct	ADJ
iassist-979	183	4	guesses	guess	NOUN
iassist-979	183	5	only	only	ADV
iassist-979	183	6	amounted	amount	VERB
iassist-979	183	7	to	to	ADP
iassist-979	183	8	24	24	NUM
iassist-979	183	9	individuals	individual	NOUN
iassist-979	183	10	out	out	ADP
iassist-979	183	11	of	of	ADP
iassist-979	183	12	98	98	NUM
iassist-979	183	13	supposed	suppose	VERB
iassist-979	183	14	correct	correct	ADJ
iassist-979	183	15	guesses	guess	NOUN
iassist-979	183	16	,	,	PUNCT
iassist-979	183	17	out	out	ADP
iassist-979	183	18	of	of	ADP
iassist-979	183	19	1114	1114	NUM
iassist-979	183	20	individuals	individual	NOUN
iassist-979	183	21	surveyed	survey	VERB
iassist-979	183	22	,	,	PUNCT
iassist-979	183	23	this	this	DET
iassist-979	183	24	experiment	experiment	NOUN
iassist-979	183	25	demonstrates	demonstrate	VERB
iassist-979	183	26	the	the	DET
iassist-979	183	27	risk	risk	NOUN
iassist-979	183	28	presented	present	VERB
iassist-979	183	29	by	by	ADP
iassist-979	183	30	a	a	DET
iassist-979	183	31	data	data	NOUN
iassist-979	183	32	intruder	intruder	NOUN
iassist-979	183	33	with	with	ADP
iassist-979	183	34	only	only	ADJ
iassist-979	183	35	simple	simple	ADJ
iassist-979	183	36	programming	programming	NOUN
iassist-979	183	37	skills	skill	NOUN
iassist-979	183	38	and	and	CCONJ
iassist-979	183	39	access	access	NOUN
iassist-979	183	40	to	to	ADP
iassist-979	183	41	public	public	ADJ
iassist-979	183	42	information	information	NOUN
iassist-979	183	43	.	.	PUNCT
iassist-979	184	1	accuracy	accuracy	NOUN
iassist-979	184	2	of	of	ADP
iassist-979	184	3	the	the	DET
iassist-979	184	4	constructed	construct	VERB
iassist-979	184	5	database	database	NOUN
iassist-979	184	6	and	and	CCONJ
iassist-979	184	7	its	its	PRON
iassist-979	184	8	distance	distance	NOUN
iassist-979	184	9	-	-	PUNCT
iassist-979	184	10	to	to	ADP
iassist-979	184	11	-	-	PUNCT
iassist-979	184	12	the	the	DET
iassist-979	184	13	-	-	PUNCT
iassist-979	184	14	nearest	nearest	NOUN
iassist-979	184	15	-	-	PUNCT
iassist-979	184	16	city	city	NOUN
iassist-979	184	17	could	could	AUX
iassist-979	184	18	be	be	AUX
iassist-979	184	19	improved	improve	VERB
iassist-979	184	20	through	through	ADP
iassist-979	184	21	use	use	NOUN
iassist-979	184	22	of	of	ADP
iassist-979	184	23	geographic	geographic	ADJ
iassist-979	184	24	information	information	NOUN
iassist-979	184	25	systems	system	NOUN
iassist-979	184	26	(	(	PUNCT
iassist-979	184	27	gis	gis	NOUN
iassist-979	184	28	)	)	PUNCT
iassist-979	184	29	software	software	NOUN
iassist-979	184	30	,	,	PUNCT
iassist-979	184	31	which	which	PRON
iassist-979	184	32	allows	allow	VERB
iassist-979	184	33	measurements	measurement	NOUN
iassist-979	184	34	and	and	CCONJ
iassist-979	184	35	calculations	calculation	NOUN
iassist-979	184	36	to	to	PART
iassist-979	184	37	be	be	AUX
iassist-979	184	38	made	make	VERB
iassist-979	184	39	using	use	VERB
iassist-979	184	40	digital	digital	ADJ
iassist-979	184	41	maps	map	NOUN
iassist-979	184	42	.	.	PUNCT
iassist-979	185	1	for	for	ADP
iassist-979	185	2	example	example	NOUN
iassist-979	185	3	,	,	PUNCT
iassist-979	185	4	the	the	DET
iassist-979	185	5	population	population	NOUN
iassist-979	185	6	size	size	NOUN
iassist-979	185	7	considered	consider	VERB
iassist-979	185	8	to	to	PART
iassist-979	185	9	be	be	AUX
iassist-979	185	10	a	a	DET
iassist-979	185	11	city	city	NOUN
iassist-979	185	12	by	by	ADP
iassist-979	185	13	the	the	DET
iassist-979	185	14	ekos	ekos	ADJ
iassist-979	185	15	survey	survey	NOUN
iassist-979	185	16	was	be	AUX
iassist-979	185	17	not	not	PART
iassist-979	185	18	always	always	ADV
iassist-979	185	19	consistent	consistent	ADJ
iassist-979	185	20	with	with	ADP
iassist-979	185	21	the	the	DET
iassist-979	185	22	results	result	NOUN
iassist-979	185	23	returned	return	VERB
iassist-979	185	24	to	to	ADP
iassist-979	185	25	me	i	PRON
iassist-979	185	26	using	use	VERB
iassist-979	185	27	the	the	DET
iassist-979	185	28	geocoding	geocoding	NOUN
iassist-979	185	29	app	app	NOUN
iassist-979	185	30	,	,	PUNCT
iassist-979	185	31	which	which	PRON
iassist-979	185	32	could	could	AUX
iassist-979	185	33	only	only	ADV
iassist-979	185	34	limit	limit	VERB
iassist-979	185	35	‘	'	PUNCT
iassist-979	185	36	cities	city	NOUN
iassist-979	185	37	’	'	PUNCT
iassist-979	185	38	by	by	ADP
iassist-979	185	39	populations	population	NOUN
iassist-979	185	40	over	over	ADP
iassist-979	185	41	5000	5000	NUM
iassist-979	185	42	,	,	PUNCT
iassist-979	185	43	10000	10000	NUM
iassist-979	185	44	,	,	PUNCT
iassist-979	185	45	or	or	CCONJ
iassist-979	185	46	15000	15000	NUM
iassist-979	185	47	.	.	PUNCT
iassist-979	186	1	an	an	DET
iassist-979	186	2	early	early	ADJ
iassist-979	186	3	iteration	iteration	NOUN
iassist-979	186	4	of	of	ADP
iassist-979	186	5	the	the	DET
iassist-979	186	6	code	code	NOUN
iassist-979	186	7	,	,	PUNCT
iassist-979	186	8	using	use	VERB
iassist-979	186	9	the	the	DET
iassist-979	186	10	definition	definition	NOUN
iassist-979	186	11	of	of	ADP
iassist-979	186	12	a	a	DET
iassist-979	186	13	city	city	NOUN
iassist-979	186	14	as	as	ADP
iassist-979	186	15	an	an	DET
iassist-979	186	16	area	area	NOUN
iassist-979	186	17	populated	populate	VERB
iassist-979	186	18	with	with	ADP
iassist-979	186	19	over	over	ADP
iassist-979	186	20	5000	5000	NUM
iassist-979	186	21	people	people	NOUN
iassist-979	186	22	was	be	AUX
iassist-979	186	23	of	of	ADP
iassist-979	186	24	low	low	ADJ
iassist-979	186	25	accuracy	accuracy	NOUN
iassist-979	186	26	in	in	ADP
iassist-979	186	27	predicting	predict	VERB
iassist-979	186	28	participant	participant	ADJ
iassist-979	186	29	locations	location	NOUN
iassist-979	186	30	.	.	PUNCT
iassist-979	187	1	it	it	PRON
iassist-979	187	2	is	be	AUX
iassist-979	187	3	expected	expect	VERB
iassist-979	187	4	that	that	DET
iassist-979	187	5	accuracy	accuracy	NOUN
iassist-979	187	6	would	would	AUX
iassist-979	187	7	improve	improve	VERB
iassist-979	187	8	if	if	SCONJ
iassist-979	187	9	a	a	DET
iassist-979	187	10	data	data	NOUN
iassist-979	187	11	intruder	intruder	NOUN
iassist-979	187	12	could	could	AUX
iassist-979	187	13	select	select	VERB
iassist-979	187	14	cities	city	NOUN
iassist-979	187	15	of	of	ADP
iassist-979	187	16	a	a	DET
iassist-979	187	17	population	population	NOUN
iassist-979	187	18	closer	close	ADV
iassist-979	187	19	to	to	ADP
iassist-979	187	20	that	that	PRON
iassist-979	187	21	used	use	VERB
iassist-979	187	22	by	by	ADP
iassist-979	187	23	the	the	DET
iassist-979	187	24	ekos	ekos	ADJ
iassist-979	187	25	survey	survey	NOUN
iassist-979	187	26	.	.	PUNCT
iassist-979	188	1	a	a	DET
iassist-979	188	2	wide	wide	ADJ
iassist-979	188	3	margin	margin	NOUN
iassist-979	188	4	of	of	ADP
iassist-979	188	5	error	error	NOUN
iassist-979	188	6	had	have	VERB
iassist-979	188	7	to	to	PART
iassist-979	188	8	be	be	AUX
iassist-979	188	9	used	use	VERB
iassist-979	188	10	to	to	PART
iassist-979	188	11	account	account	VERB
iassist-979	188	12	for	for	ADP
iassist-979	188	13	the	the	DET
iassist-979	188	14	low	low	ADJ
iassist-979	188	15	accuracy	accuracy	NOUN
iassist-979	188	16	of	of	ADP
iassist-979	188	17	comparing	compare	VERB
iassist-979	188	18	a	a	DET
iassist-979	188	19	straight	straight	ADJ
iassist-979	188	20	-	-	PUNCT
iassist-979	188	21	line	line	NOUN
iassist-979	188	22	distance	distance	NOUN
iassist-979	188	23	-	-	PUNCT
iassist-979	188	24	to	to	ADP
iassist-979	188	25	-	-	PUNCT
iassist-979	188	26	the	the	DET
iassist-979	188	27	-	-	PUNCT
iassist-979	188	28	nearest	nearest	NOUN
iassist-979	188	29	-	-	PUNCT
iassist-979	188	30	city	city	NOUN
iassist-979	188	31	within	within	ADP
iassist-979	188	32	the	the	DET
iassist-979	188	33	constructed	construct	VERB
iassist-979	188	34	database	database	NOUN
iassist-979	188	35	to	to	ADP
iassist-979	188	36	the	the	DET
iassist-979	188	37	estimated	estimate	VERB
iassist-979	188	38	distance	distance	NOUN
iassist-979	188	39	-	-	PUNCT
iassist-979	188	40	to	to	ADP
iassist-979	188	41	-	-	PUNCT
iassist-979	188	42	the	the	DET
iassist-979	188	43	-	-	PUNCT
iassist-979	188	44	nearest	nearest	NOUN
iassist-979	188	45	-	-	PUNCT
iassist-979	188	46	city	city	NOUN
iassist-979	188	47	by	by	ADP
iassist-979	188	48	road	road	NOUN
iassist-979	188	49	.	.	PUNCT
iassist-979	189	1	gis	gis	NOUN
iassist-979	189	2	layers	layer	NOUN
iassist-979	189	3	,	,	PUNCT
iassist-979	189	4	such	such	ADJ
iassist-979	189	5	as	as	ADP
iassist-979	189	6	dmti	dmti	PROPN
iassist-979	189	7	route	route	NOUN
iassist-979	189	8	maps	map	NOUN
iassist-979	189	9	,	,	PUNCT
iassist-979	189	10	could	could	AUX
iassist-979	189	11	be	be	AUX
iassist-979	189	12	used	use	VERB
iassist-979	189	13	to	to	PART
iassist-979	189	14	find	find	VERB
iassist-979	189	15	the	the	DET
iassist-979	189	16	shortest	short	ADJ
iassist-979	189	17	distance	distance	NOUN
iassist-979	189	18	by	by	ADP
iassist-979	189	19	transportation	transportation	NOUN
iassist-979	189	20	to	to	ADP
iassist-979	189	21	the	the	DET
iassist-979	189	22	nearest	near	ADJ
iassist-979	189	23	city	city	NOUN
iassist-979	189	24	.	.	PUNCT
iassist-979	190	1	this	this	PRON
iassist-979	190	2	would	would	AUX
iassist-979	190	3	enable	enable	VERB
iassist-979	190	4	us	we	PRON
iassist-979	190	5	to	to	PART
iassist-979	190	6	decrease	decrease	VERB
iassist-979	190	7	our	our	PRON
iassist-979	190	8	allowed	allow	VERB
iassist-979	190	9	margin	margin	NOUN
iassist-979	190	10	-	-	PUNCT
iassist-979	190	11	of	of	ADP
iassist-979	190	12	-	-	PUNCT
iassist-979	190	13	error	error	NOUN
iassist-979	190	14	,	,	PUNCT
iassist-979	190	15	decrease	decrease	VERB
iassist-979	190	16	the	the	DET
iassist-979	190	17	number	number	NOUN
iassist-979	190	18	of	of	ADP
iassist-979	190	19	candidate	candidate	NOUN
iassist-979	190	20	reserves	reserve	NOUN
iassist-979	190	21	possible	possible	ADJ
iassist-979	190	22	for	for	SCONJ
iassist-979	190	23	each	each	DET
iassist-979	190	24	respondent	respondent	NOUN
iassist-979	190	25	living	live	VERB
iassist-979	190	26	on	on	ADP
iassist-979	190	27	reserve	reserve	NOUN
iassist-979	190	28	,	,	PUNCT
iassist-979	190	29	and	and	CCONJ
iassist-979	190	30	increase	increase	VERB
iassist-979	190	31	the	the	DET
iassist-979	190	32	number	number	NOUN
iassist-979	190	33	of	of	ADP
iassist-979	190	34	respondents	respondent	NOUN
iassist-979	190	35	for	for	ADP
iassist-979	190	36	which	which	PRON
iassist-979	190	37	a	a	DET
iassist-979	190	38	single	single	ADJ
iassist-979	190	39	location	location	NOUN
iassist-979	190	40	can	can	AUX
iassist-979	190	41	be	be	AUX
iassist-979	190	42	positively	positively	ADV
iassist-979	190	43	identified	identify	VERB
iassist-979	190	44	.	.	PUNCT
iassist-979	191	1	based	base	VERB
iassist-979	191	2	on	on	ADP
iassist-979	191	3	the	the	DET
iassist-979	191	4	results	result	NOUN
iassist-979	191	5	of	of	ADP
iassist-979	191	6	this	this	DET
iassist-979	191	7	penetration	penetration	NOUN
iassist-979	191	8	test	test	NOUN
iassist-979	191	9	,	,	PUNCT
iassist-979	191	10	the	the	DET
iassist-979	191	11	variable	variable	ADJ
iassist-979	191	12	‘	'	PUNCT
iassist-979	191	13	distance	distance	NOUN
iassist-979	191	14	to	to	ADP
iassist-979	191	15	nearest	near	ADJ
iassist-979	191	16	city	city	NOUN
iassist-979	191	17	’	'	PUNCT
iassist-979	191	18	will	will	AUX
iassist-979	191	19	be	be	AUX
iassist-979	191	20	dropped	drop	VERB
iassist-979	191	21	from	from	ADP
iassist-979	191	22	any	any	DET
iassist-979	191	23	publicly	publicly	ADV
iassist-979	191	24	accessible	accessible	ADJ
iassist-979	191	25	version	version	NOUN
iassist-979	191	26	of	of	ADP
iassist-979	191	27	this	this	DET
iassist-979	191	28	dataset	dataset	NOUN
iassist-979	191	29	.	.	PUNCT
iassist-979	192	1	discussion	discussion	NOUN
iassist-979	192	2	the	the	DET
iassist-979	192	3	authors	author	NOUN
iassist-979	192	4	’	’	PART
iassist-979	192	5	experiences	experience	NOUN
iassist-979	192	6	should	should	AUX
iassist-979	192	7	help	help	VERB
iassist-979	192	8	illuminate	illuminate	VERB
iassist-979	192	9	the	the	DET
iassist-979	192	10	complexity	complexity	NOUN
iassist-979	192	11	of	of	ADP
iassist-979	192	12	determining	determine	VERB
iassist-979	192	13	if	if	SCONJ
iassist-979	192	14	a	a	DET
iassist-979	192	15	survey	survey	NOUN
iassist-979	192	16	dataset	dataset	NOUN
iassist-979	192	17	has	have	AUX
iassist-979	192	18	been	be	AUX
iassist-979	192	19	successfully	successfully	ADV
iassist-979	192	20	deidentified	deidentifie	VERB
iassist-979	192	21	and	and	CCONJ
iassist-979	192	22	provide	provide	VERB
iassist-979	192	23	some	some	DET
iassist-979	192	24	guidance	guidance	NOUN
iassist-979	192	25	into	into	ADP
iassist-979	192	26	deidentifying	deidentifye	VERB
iassist-979	192	27	other	other	ADJ
iassist-979	192	28	survey	survey	NOUN
iassist-979	192	29	datasets	dataset	NOUN
iassist-979	192	30	.	.	PUNCT
iassist-979	193	1	as	as	ADP
iassist-979	193	2	a	a	DET
iassist-979	193	3	practical	practical	ADJ
iassist-979	193	4	approach	approach	NOUN
iassist-979	193	5	,	,	PUNCT
iassist-979	193	6	steps	step	NOUN
iassist-979	193	7	for	for	ADP
iassist-979	193	8	deidentification	deidentification	NOUN
iassist-979	193	9	of	of	ADP
iassist-979	193	10	a	a	DET
iassist-979	193	11	dataset	dataset	NOUN
iassist-979	193	12	might	might	AUX
iassist-979	193	13	include	include	VERB
iassist-979	193	14	,	,	PUNCT
iassist-979	193	15	first	first	ADV
iassist-979	193	16	,	,	PUNCT
iassist-979	193	17	the	the	DET
iassist-979	193	18	removal	removal	NOUN
iassist-979	193	19	of	of	ADP
iassist-979	193	20	all	all	DET
iassist-979	193	21	direct	direct	ADJ
iassist-979	193	22	identifiers	identifier	NOUN
iassist-979	193	23	.	.	PUNCT
iassist-979	194	1	the	the	DET
iassist-979	194	2	set	set	NOUN
iassist-979	194	3	of	of	ADP
iassist-979	194	4	risky	risky	ADJ
iassist-979	194	5	quasi	quasi	NOUN
iassist-979	194	6	-	-	NOUN
iassist-979	194	7	identifiers	identifier	NOUN
iassist-979	194	8	to	to	PART
iassist-979	194	9	be	be	AUX
iassist-979	194	10	preferentially	preferentially	ADV
iassist-979	194	11	retained	retain	VERB
iassist-979	194	12	needs	need	NOUN
iassist-979	194	13	to	to	PART
iassist-979	194	14	be	be	AUX
iassist-979	194	15	identified	identify	VERB
iassist-979	194	16	next	next	ADV
iassist-979	194	17	.	.	PUNCT
iassist-979	195	1	frequency	frequency	NOUN
iassist-979	195	2	tables	table	NOUN
iassist-979	195	3	can	can	AUX
iassist-979	195	4	be	be	AUX
iassist-979	195	5	used	use	VERB
iassist-979	195	6	to	to	PART
iassist-979	195	7	identify	identify	VERB
iassist-979	195	8	small	small	ADJ
iassist-979	195	9	categories	category	NOUN
iassist-979	195	10	on	on	ADP
iassist-979	195	11	these	these	DET
iassist-979	195	12	quasiidentifiers	quasiidentifier	NOUN
iassist-979	195	13	and	and	CCONJ
iassist-979	195	14	determine	determine	VERB
iassist-979	195	15	appropriate	appropriate	ADJ
iassist-979	195	16	groupings	grouping	NOUN
iassist-979	195	17	.	.	PUNCT
iassist-979	196	1	(	(	PUNCT
iassist-979	196	2	‘	'	PUNCT
iassist-979	196	3	small	small	ADJ
iassist-979	196	4	’	'	PUNCT
iassist-979	196	5	is	be	AUX
iassist-979	196	6	relative	relative	ADJ
iassist-979	196	7	and	and	CCONJ
iassist-979	196	8	will	will	AUX
iassist-979	196	9	depend	depend	VERB
iassist-979	196	10	on	on	ADP
iassist-979	196	11	the	the	DET
iassist-979	196	12	size	size	NOUN
iassist-979	196	13	of	of	ADP
iassist-979	196	14	the	the	DET
iassist-979	196	15	sample	sample	NOUN
iassist-979	196	16	and	and	CCONJ
iassist-979	196	17	the	the	DET
iassist-979	196	18	size	size	NOUN
iassist-979	196	19	of	of	ADP
iassist-979	196	20	the	the	DET
iassist-979	196	21	population	population	NOUN
iassist-979	196	22	from	from	ADP
iassist-979	196	23	which	which	PRON
iassist-979	196	24	a	a	DET
iassist-979	196	25	sample	sample	NOUN
iassist-979	196	26	was	be	AUX
iassist-979	196	27	drawn	draw	VERB
iassist-979	196	28	.	.	PUNCT
iassist-979	197	1	as	as	ADP
iassist-979	197	2	a	a	DET
iassist-979	197	3	first	first	ADJ
iassist-979	197	4	pass	pass	NOUN
iassist-979	197	5	,	,	PUNCT
iassist-979	197	6	groups	group	NOUN
iassist-979	197	7	smaller	small	ADJ
iassist-979	197	8	than	than	SCONJ
iassist-979	197	9	5	5	NUM
iassist-979	197	10	%	%	NOUN
iassist-979	197	11	of	of	ADP
iassist-979	197	12	the	the	DET
iassist-979	197	13	population	population	NOUN
iassist-979	197	14	might	might	AUX
iassist-979	197	15	be	be	AUX
iassist-979	197	16	considered	consider	VERB
iassist-979	197	17	.	.	PUNCT
iassist-979	197	18	)	)	PUNCT
iassist-979	197	19	bivariate	bivariate	ADJ
iassist-979	197	20	tables	table	NOUN
iassist-979	197	21	of	of	ADP
iassist-979	197	22	the	the	DET
iassist-979	197	23	grouped	group	VERB
iassist-979	197	24	quasiidentifiers	quasiidentifier	NOUN
iassist-979	197	25	can	can	AUX
iassist-979	197	26	be	be	AUX
iassist-979	197	27	used	use	VERB
iassist-979	197	28	next	next	ADV
iassist-979	197	29	to	to	PART
iassist-979	197	30	identify	identify	VERB
iassist-979	197	31	variables	variable	NOUN
iassist-979	197	32	that	that	PRON
iassist-979	197	33	produce	produce	VERB
iassist-979	197	34	small	small	ADJ
iassist-979	197	35	groups	group	NOUN
iassist-979	197	36	.	.	PUNCT
iassist-979	198	1	(	(	PUNCT
iassist-979	198	2	software	software	NOUN
iassist-979	198	3	such	such	ADJ
iassist-979	198	4	as	as	ADP
iassist-979	198	5	the	the	DET
iassist-979	198	6	program	program	NOUN
iassist-979	198	7	amnesia	amnesia	NOUN
iassist-979	198	8	or	or	CCONJ
iassist-979	198	9	the	the	DET
iassist-979	198	10	r	r	NOUN
iassist-979	198	11	package	package	NOUN
iassist-979	198	12	sdcmicro	sdcmicro	ADV
iassist-979	198	13	can	can	AUX
iassist-979	198	14	help	help	VERB
iassist-979	198	15	automate	automate	VERB
iassist-979	198	16	this	this	DET
iassist-979	198	17	process	process	NOUN
iassist-979	198	18	but	but	CCONJ
iassist-979	198	19	are	be	AUX
iassist-979	198	20	beyond	beyond	ADP
iassist-979	198	21	the	the	DET
iassist-979	198	22	scope	scope	NOUN
iassist-979	198	23	of	of	ADP
iassist-979	198	24	this	this	DET
iassist-979	198	25	paper	paper	NOUN
iassist-979	198	26	.	.	PUNCT
iassist-979	198	27	)	)	PUNCT
iassist-979	199	1	the	the	DET
iassist-979	199	2	data	data	NOUN
iassist-979	199	3	custodian	custodian	NOUN
iassist-979	199	4	may	may	AUX
iassist-979	199	5	wish	wish	VERB
iassist-979	199	6	to	to	PART
iassist-979	199	7	consider	consider	VERB
iassist-979	199	8	suppressing	suppress	VERB
iassist-979	199	9	individual	individual	ADJ
iassist-979	199	10	values	value	NOUN
iassist-979	199	11	rather	rather	ADV
iassist-979	199	12	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	199	13	10/13	10/13	NUM
iassist-979	199	14	thompson	thompson	PROPN
iassist-979	199	15	,	,	PUNCT
iassist-979	199	16	kristi	kristi	PROPN
iassist-979	199	17	and	and	CCONJ
iassist-979	199	18	sullivan	sullivan	PROPN
iassist-979	199	19	,	,	PUNCT
iassist-979	199	20	carolyn	carolyn	PROPN
iassist-979	199	21	(	(	PUNCT
iassist-979	199	22	2020	2020	NUM
iassist-979	199	23	)	)	PUNCT
iassist-979	199	24	mathematics	mathematic	NOUN
iassist-979	199	25	,	,	PUNCT
iassist-979	199	26	risk	risk	NOUN
iassist-979	199	27	,	,	PUNCT
iassist-979	199	28	and	and	CCONJ
iassist-979	199	29	messy	messy	ADJ
iassist-979	199	30	survey	survey	NOUN
iassist-979	199	31	data	datum	NOUN
iassist-979	199	32	,	,	PUNCT
iassist-979	199	33	iassist	iassist	VERB
iassist-979	199	34	quarterly	quarterly	ADJ
iassist-979	199	35	44(4	44(4	NOUN
iassist-979	199	36	)	)	PUNCT
iassist-979	199	37	,	,	PUNCT
iassist-979	199	38	pp	pp	ADP
iassist-979	199	39	.	.	PUNCT
iassist-979	200	1	1	1	NUM
iassist-979	200	2	-	-	SYM
iassist-979	200	3	13	13	NUM
iassist-979	200	4	.	.	PUNCT
iassist-979	201	1	doi	doi	NOUN
iassist-979	201	2	:	:	PUNCT
iassist-979	201	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	201	4	than	than	ADP
iassist-979	201	5	regrouping	regroup	VERB
iassist-979	201	6	at	at	ADP
iassist-979	201	7	this	this	DET
iassist-979	201	8	stage	stage	NOUN
iassist-979	201	9	.	.	PUNCT
iassist-979	202	1	for	for	ADP
iassist-979	202	2	example	example	NOUN
iassist-979	202	3	,	,	PUNCT
iassist-979	202	4	in	in	ADP
iassist-979	202	5	a	a	DET
iassist-979	202	6	unique	unique	ADJ
iassist-979	202	7	case	case	NOUN
iassist-979	202	8	of	of	ADP
iassist-979	202	9	a	a	DET
iassist-979	202	10	respondent	respondent	NOUN
iassist-979	202	11	being	be	AUX
iassist-979	202	12	married	marry	VERB
iassist-979	202	13	and	and	CCONJ
iassist-979	202	14	under	under	ADP
iassist-979	202	15	age	age	NOUN
iassist-979	202	16	16	16	NUM
iassist-979	202	17	,	,	PUNCT
iassist-979	202	18	the	the	DET
iassist-979	202	19	custodian	custodian	NOUN
iassist-979	202	20	might	might	AUX
iassist-979	202	21	delete	delete	VERB
iassist-979	202	22	the	the	DET
iassist-979	202	23	response	response	NOUN
iassist-979	202	24	to	to	ADP
iassist-979	202	25	the	the	DET
iassist-979	202	26	marriage	marriage	NOUN
iassist-979	202	27	question	question	NOUN
iassist-979	202	28	instead	instead	ADV
iassist-979	202	29	of	of	ADP
iassist-979	202	30	regrouping	regroup	VERB
iassist-979	202	31	the	the	DET
iassist-979	202	32	otherwise	otherwise	ADV
iassist-979	202	33	non	non	ADJ
iassist-979	202	34	-	-	ADJ
iassist-979	202	35	risky	risky	ADJ
iassist-979	202	36	variables	variable	NOUN
iassist-979	202	37	of	of	ADP
iassist-979	202	38	‘	'	PUNCT
iassist-979	202	39	age	age	NOUN
iassist-979	202	40	group	group	NOUN
iassist-979	202	41	’	'	PUNCT
iassist-979	202	42	and	and	CCONJ
iassist-979	202	43	‘	'	PUNCT
iassist-979	202	44	marital	marital	ADJ
iassist-979	202	45	status	status	NOUN
iassist-979	202	46	’	'	PUNCT
iassist-979	202	47	.	.	PUNCT
iassist-979	203	1	larger	large	ADJ
iassist-979	203	2	groups	group	NOUN
iassist-979	203	3	of	of	ADP
iassist-979	203	4	variables	variable	NOUN
iassist-979	203	5	can	can	AUX
iassist-979	203	6	be	be	AUX
iassist-979	203	7	iteratively	iteratively	ADV
iassist-979	203	8	investigated	investigate	VERB
iassist-979	203	9	to	to	PART
iassist-979	203	10	locate	locate	VERB
iassist-979	203	11	potentially	potentially	ADV
iassist-979	203	12	small	small	ADJ
iassist-979	203	13	groupings	grouping	NOUN
iassist-979	203	14	,	,	PUNCT
iassist-979	203	15	until	until	SCONJ
iassist-979	203	16	the	the	DET
iassist-979	203	17	data	data	NOUN
iassist-979	203	18	custodian	custodian	NOUN
iassist-979	203	19	comes	come	VERB
iassist-979	203	20	up	up	ADP
iassist-979	203	21	with	with	ADP
iassist-979	203	22	a	a	DET
iassist-979	203	23	final	final	ADJ
iassist-979	203	24	set	set	NOUN
iassist-979	203	25	of	of	ADP
iassist-979	203	26	equivalence	equivalence	NOUN
iassist-979	203	27	classes	class	NOUN
iassist-979	203	28	based	base	VERB
iassist-979	203	29	on	on	ADP
iassist-979	203	30	the	the	DET
iassist-979	203	31	full	full	ADJ
iassist-979	203	32	list	list	NOUN
iassist-979	203	33	of	of	ADP
iassist-979	203	34	modified	modify	VERB
iassist-979	203	35	risky	risky	ADJ
iassist-979	203	36	variables	variable	NOUN
iassist-979	203	37	.	.	PUNCT
iassist-979	204	1	if	if	SCONJ
iassist-979	204	2	the	the	DET
iassist-979	204	3	dataset	dataset	NOUN
iassist-979	204	4	has	have	AUX
iassist-979	204	5	achieved	achieve	VERB
iassist-979	204	6	k	k	NOUN
iassist-979	204	7	-	-	NOUN
iassist-979	204	8	anonymity	anonymity	NOUN
iassist-979	204	9	with	with	ADP
iassist-979	204	10	an	an	DET
iassist-979	204	11	appropriate	appropriate	ADJ
iassist-979	204	12	value	value	NOUN
iassist-979	204	13	of	of	ADP
iassist-979	204	14	k	k	PROPN
iassist-979	204	15	(	(	PUNCT
iassist-979	204	16	usually	usually	ADV
iassist-979	204	17	3	3	NUM
iassist-979	204	18	or	or	CCONJ
iassist-979	204	19	5	5	NUM
iassist-979	204	20	)	)	PUNCT
iassist-979	204	21	the	the	DET
iassist-979	204	22	dataset	dataset	NOUN
iassist-979	204	23	may	may	AUX
iassist-979	204	24	be	be	AUX
iassist-979	204	25	considered	consider	VERB
iassist-979	204	26	provisionally	provisionally	ADV
iassist-979	204	27	safe	safe	ADJ
iassist-979	204	28	.	.	PUNCT
iassist-979	205	1	if	if	SCONJ
iassist-979	205	2	unacceptably	unacceptably	ADV
iassist-979	205	3	small	small	ADJ
iassist-979	205	4	equivalence	equivalence	NOUN
iassist-979	205	5	classes	class	NOUN
iassist-979	205	6	remain	remain	VERB
iassist-979	205	7	in	in	ADP
iassist-979	205	8	the	the	DET
iassist-979	205	9	dataset	dataset	NOUN
iassist-979	205	10	and	and	CCONJ
iassist-979	205	11	the	the	DET
iassist-979	205	12	data	data	NOUN
iassist-979	205	13	custodian	custodian	NOUN
iassist-979	205	14	would	would	AUX
iassist-979	205	15	prefer	prefer	VERB
iassist-979	205	16	not	not	PART
iassist-979	205	17	to	to	PART
iassist-979	205	18	drop	drop	VERB
iassist-979	205	19	or	or	CCONJ
iassist-979	205	20	regroup	regroup	VERB
iassist-979	205	21	variables	variable	NOUN
iassist-979	205	22	any	any	PRON
iassist-979	205	23	further	far	ADV
iassist-979	205	24	,	,	PUNCT
iassist-979	205	25	at	at	ADP
iassist-979	205	26	this	this	DET
iassist-979	205	27	stage	stage	NOUN
iassist-979	205	28	the	the	DET
iassist-979	205	29	population	population	NOUN
iassist-979	205	30	k	k	NOUN
iassist-979	205	31	-	-	PUNCT
iassist-979	205	32	values	value	NOUN
iassist-979	205	33	of	of	ADP
iassist-979	205	34	the	the	DET
iassist-979	205	35	equivalence	equivalence	NOUN
iassist-979	205	36	classes	class	NOUN
iassist-979	205	37	can	can	AUX
iassist-979	205	38	be	be	AUX
iassist-979	205	39	checked	check	VERB
iassist-979	205	40	using	use	VERB
iassist-979	205	41	an	an	DET
iassist-979	205	42	appropriate	appropriate	ADJ
iassist-979	205	43	large	large	ADJ
iassist-979	205	44	national	national	ADJ
iassist-979	205	45	population	population	NOUN
iassist-979	205	46	-	-	PUNCT
iassist-979	205	47	weighted	weight	VERB
iassist-979	205	48	dataset	dataset	NOUN
iassist-979	205	49	,	,	PUNCT
iassist-979	205	50	if	if	SCONJ
iassist-979	205	51	one	one	PRON
iassist-979	205	52	can	can	AUX
iassist-979	205	53	be	be	AUX
iassist-979	205	54	located	locate	VERB
iassist-979	205	55	.	.	PUNCT
iassist-979	206	1	if	if	SCONJ
iassist-979	206	2	the	the	DET
iassist-979	206	3	dataset	dataset	NOUN
iassist-979	206	4	has	have	VERB
iassist-979	206	5	a	a	DET
iassist-979	206	6	low	low	ADJ
iassist-979	206	7	population	population	NOUN
iassist-979	206	8	reidentification	reidentification	NOUN
iassist-979	206	9	risk	risk	NOUN
iassist-979	206	10	,	,	PUNCT
iassist-979	206	11	current	current	ADJ
iassist-979	206	12	variables	variable	NOUN
iassist-979	206	13	may	may	AUX
iassist-979	206	14	be	be	AUX
iassist-979	206	15	retained	retain	VERB
iassist-979	206	16	,	,	PUNCT
iassist-979	206	17	otherwise	otherwise	ADV
iassist-979	206	18	they	they	PRON
iassist-979	206	19	will	will	AUX
iassist-979	206	20	need	need	VERB
iassist-979	206	21	to	to	PART
iassist-979	206	22	be	be	AUX
iassist-979	206	23	dropped	drop	VERB
iassist-979	206	24	,	,	PUNCT
iassist-979	206	25	suppressed	suppress	VERB
iassist-979	206	26	or	or	CCONJ
iassist-979	206	27	grouped	group	VERB
iassist-979	206	28	further	far	ADV
iassist-979	206	29	.	.	PUNCT
iassist-979	207	1	as	as	ADP
iassist-979	207	2	a	a	DET
iassist-979	207	3	final	final	ADJ
iassist-979	207	4	step	step	NOUN
iassist-979	207	5	,	,	PUNCT
iassist-979	207	6	variables	variable	NOUN
iassist-979	207	7	that	that	PRON
iassist-979	207	8	relate	relate	VERB
iassist-979	207	9	to	to	ADP
iassist-979	207	10	geography	geography	NOUN
iassist-979	207	11	in	in	ADP
iassist-979	207	12	any	any	DET
iassist-979	207	13	way	way	NOUN
iassist-979	207	14	should	should	AUX
iassist-979	207	15	be	be	AUX
iassist-979	207	16	treated	treat	VERB
iassist-979	207	17	with	with	ADP
iassist-979	207	18	extreme	extreme	ADJ
iassist-979	207	19	caution	caution	NOUN
iassist-979	207	20	.	.	PUNCT
iassist-979	208	1	as	as	SCONJ
iassist-979	208	2	we	we	PRON
iassist-979	208	3	have	have	AUX
iassist-979	208	4	demonstrated	demonstrate	VERB
iassist-979	208	5	,	,	PUNCT
iassist-979	208	6	non	non	ADJ
iassist-979	208	7	-	-	ADJ
iassist-979	208	8	obvious	obvious	ADJ
iassist-979	208	9	geographic	geographic	ADJ
iassist-979	208	10	variables	variable	NOUN
iassist-979	208	11	such	such	ADJ
iassist-979	208	12	as	as	ADP
iassist-979	208	13	distance	distance	NOUN
iassist-979	208	14	from	from	ADP
iassist-979	208	15	nearest	near	ADJ
iassist-979	208	16	city	city	NOUN
iassist-979	208	17	,	,	PUNCT
iassist-979	208	18	combined	combine	VERB
iassist-979	208	19	with	with	ADP
iassist-979	208	20	contextual	contextual	ADJ
iassist-979	208	21	information	information	NOUN
iassist-979	208	22	such	such	ADJ
iassist-979	208	23	as	as	ADP
iassist-979	208	24	survey	survey	NOUN
iassist-979	208	25	respondents	respondent	NOUN
iassist-979	208	26	living	live	VERB
iassist-979	208	27	on	on	ADP
iassist-979	208	28	a	a	DET
iassist-979	208	29	reservation	reservation	NOUN
iassist-979	208	30	,	,	PUNCT
iassist-979	208	31	can	can	AUX
iassist-979	208	32	be	be	AUX
iassist-979	208	33	used	use	VERB
iassist-979	208	34	to	to	PART
iassist-979	208	35	pinpoint	pinpoint	VERB
iassist-979	208	36	geographic	geographic	ADJ
iassist-979	208	37	location	location	NOUN
iassist-979	208	38	with	with	ADP
iassist-979	208	39	surprising	surprising	ADJ
iassist-979	208	40	precision	precision	NOUN
iassist-979	208	41	.	.	PUNCT
iassist-979	209	1	other	other	ADJ
iassist-979	209	2	geography	geography	NOUN
iassist-979	209	3	-	-	PUNCT
iassist-979	209	4	adjacent	adjacent	ADJ
iassist-979	209	5	variables	variable	NOUN
iassist-979	209	6	that	that	PRON
iassist-979	209	7	might	might	AUX
iassist-979	209	8	need	need	VERB
iassist-979	209	9	to	to	PART
iassist-979	209	10	be	be	AUX
iassist-979	209	11	considered	consider	VERB
iassist-979	209	12	in	in	ADP
iassist-979	209	13	relation	relation	NOUN
iassist-979	209	14	to	to	ADP
iassist-979	209	15	contextual	contextual	ADJ
iassist-979	209	16	survey	survey	NOUN
iassist-979	209	17	information	information	NOUN
iassist-979	209	18	might	might	AUX
iassist-979	209	19	include	include	VERB
iassist-979	209	20	community	community	NOUN
iassist-979	209	21	size	size	NOUN
iassist-979	209	22	and	and	CCONJ
iassist-979	209	23	presence	presence	NOUN
iassist-979	209	24	or	or	CCONJ
iassist-979	209	25	lack	lack	NOUN
iassist-979	209	26	of	of	ADP
iassist-979	209	27	resources	resource	NOUN
iassist-979	209	28	such	such	ADJ
iassist-979	209	29	as	as	ADP
iassist-979	209	30	a	a	DET
iassist-979	209	31	major	major	ADJ
iassist-979	209	32	hospital	hospital	NOUN
iassist-979	209	33	or	or	CCONJ
iassist-979	209	34	public	public	ADJ
iassist-979	209	35	airport	airport	NOUN
iassist-979	209	36	in	in	ADP
iassist-979	209	37	a	a	DET
iassist-979	209	38	community	community	NOUN
iassist-979	209	39	.	.	PUNCT
iassist-979	210	1	as	as	SCONJ
iassist-979	210	2	penetration	penetration	NOUN
iassist-979	210	3	testing	testing	NOUN
iassist-979	210	4	is	be	AUX
iassist-979	210	5	likely	likely	ADJ
iassist-979	210	6	to	to	PART
iassist-979	210	7	be	be	AUX
iassist-979	210	8	beyond	beyond	ADP
iassist-979	210	9	what	what	PRON
iassist-979	210	10	is	be	AUX
iassist-979	210	11	practical	practical	ADJ
iassist-979	210	12	as	as	ADP
iassist-979	210	13	a	a	DET
iassist-979	210	14	part	part	NOUN
iassist-979	210	15	of	of	ADP
iassist-979	210	16	routine	routine	ADJ
iassist-979	210	17	data	datum	NOUN
iassist-979	210	18	deidentification	deidentification	NOUN
iassist-979	210	19	,	,	PUNCT
iassist-979	210	20	the	the	DET
iassist-979	210	21	data	data	NOUN
iassist-979	210	22	custodian	custodian	NOUN
iassist-979	210	23	should	should	AUX
iassist-979	210	24	be	be	AUX
iassist-979	210	25	proactive	proactive	ADJ
iassist-979	210	26	in	in	ADP
iassist-979	210	27	considering	consider	VERB
iassist-979	210	28	whether	whether	SCONJ
iassist-979	210	29	there	there	PRON
iassist-979	210	30	is	be	VERB
iassist-979	210	31	a	a	DET
iassist-979	210	32	strong	strong	ADJ
iassist-979	210	33	analytic	analytic	ADJ
iassist-979	210	34	interest	interest	NOUN
iassist-979	210	35	in	in	ADP
iassist-979	210	36	retaining	retain	VERB
iassist-979	210	37	such	such	ADJ
iassist-979	210	38	variables	variable	NOUN
iassist-979	210	39	and	and	CCONJ
iassist-979	210	40	dropping	drop	VERB
iassist-979	210	41	them	they	PRON
iassist-979	210	42	if	if	SCONJ
iassist-979	210	43	there	there	PRON
iassist-979	210	44	is	be	VERB
iassist-979	210	45	not	not	PART
iassist-979	210	46	.	.	PUNCT
iassist-979	211	1	references	reference	NOUN
iassist-979	211	2	ayala	ayala	PROPN
iassist-979	211	3	-	-	PUNCT
iassist-979	211	4	rivera	rivera	PROPN
iassist-979	211	5	,	,	PUNCT
iassist-979	211	6	v.	v.	PROPN
iassist-979	211	7	,	,	PUNCT
iassist-979	211	8	mcdonagh	mcdonagh	PROPN
iassist-979	211	9	,	,	PUNCT
iassist-979	211	10	p.	p.	PROPN
iassist-979	211	11	,	,	PUNCT
iassist-979	211	12	cerqueus	cerqueus	PROPN
iassist-979	211	13	,	,	PUNCT
iassist-979	211	14	t.	t.	PROPN
iassist-979	211	15	and	and	CCONJ
iassist-979	211	16	murphy	murphy	PROPN
iassist-979	211	17	,	,	PUNCT
iassist-979	211	18	l.	l.	PROPN
iassist-979	211	19	(	(	PUNCT
iassist-979	211	20	2014	2014	NUM
iassist-979	211	21	)	)	PUNCT
iassist-979	211	22	.	.	PUNCT
iassist-979	212	1	‘	'	PUNCT
iassist-979	212	2	a	a	DET
iassist-979	212	3	systematic	systematic	ADJ
iassist-979	212	4	comparison	comparison	NOUN
iassist-979	212	5	and	and	CCONJ
iassist-979	212	6	evaluation	evaluation	NOUN
iassist-979	212	7	of	of	ADP
iassist-979	212	8	k	k	NOUN
iassist-979	212	9	-	-	PUNCT
iassist-979	212	10	anonymization	anonymization	NOUN
iassist-979	212	11	algorithms	algorithm	NOUN
iassist-979	212	12	for	for	ADP
iassist-979	212	13	practitioners	practitioner	NOUN
iassist-979	212	14	’	'	PUNCT
iassist-979	212	15	.	.	PUNCT
iassist-979	213	1	transactions	transaction	NOUN
iassist-979	213	2	on	on	ADP
iassist-979	213	3	data	datum	NOUN
iassist-979	213	4	privacy	privacy	NOUN
iassist-979	213	5	,	,	PUNCT
iassist-979	213	6	7(3	7(3	NUM
iassist-979	213	7	)	)	PUNCT
iassist-979	213	8	,	,	PUNCT
iassist-979	213	9	pp.337	pp.337	NOUN
iassist-979	213	10	-	-	SYM
iassist-979	213	11	370	370	NUM
iassist-979	213	12	.	.	PUNCT
iassist-979	213	13	available	available	ADJ
iassist-979	214	1	online	online	ADV
iassist-979	214	2	:	:	PUNCT
iassist-979	215	1	http://hdl.handle.net/10197/9109	http://hdl.handle.net/10197/9109	VERB
iassist-979	215	2	canadian	canadian	ADJ
iassist-979	215	3	institutes	institutes	PROPN
iassist-979	215	4	of	of	ADP
iassist-979	215	5	health	health	PROPN
iassist-979	215	6	research	research	NOUN
iassist-979	215	7	(	(	PUNCT
iassist-979	215	8	cihr	cihr	PROPN
iassist-979	215	9	)	)	PUNCT
iassist-979	215	10	,	,	PUNCT
iassist-979	215	11	the	the	DET
iassist-979	215	12	natural	natural	ADJ
iassist-979	215	13	sciences	science	NOUN
iassist-979	215	14	and	and	CCONJ
iassist-979	215	15	engineering	engineering	NOUN
iassist-979	215	16	research	research	NOUN
iassist-979	215	17	council	council	PROPN
iassist-979	215	18	of	of	ADP
iassist-979	215	19	canada	canada	PROPN
iassist-979	215	20	(	(	PUNCT
iassist-979	215	21	nserc	nserc	PROPN
iassist-979	215	22	)	)	PUNCT
iassist-979	215	23	,	,	PUNCT
iassist-979	215	24	and	and	CCONJ
iassist-979	215	25	the	the	DET
iassist-979	215	26	social	social	ADJ
iassist-979	215	27	sciences	sciences	PROPN
iassist-979	215	28	and	and	CCONJ
iassist-979	215	29	humanities	humanity	NOUN
iassist-979	215	30	research	research	PROPN
iassist-979	215	31	council	council	PROPN
iassist-979	215	32	of	of	ADP
iassist-979	215	33	canada	canada	PROPN
iassist-979	215	34	(	(	PUNCT
iassist-979	215	35	sshrc	sshrc	NOUN
iassist-979	215	36	)	)	PUNCT
iassist-979	215	37	(	(	PUNCT
iassist-979	215	38	2018	2018	NUM
iassist-979	215	39	)	)	PUNCT
iassist-979	215	40	.	.	PUNCT
iassist-979	216	1	‘	'	PUNCT
iassist-979	216	2	draft	draft	VERB
iassist-979	216	3	tri	tri	ADJ
iassist-979	216	4	-	-	ADJ
iassist-979	216	5	agency	agency	ADJ
iassist-979	216	6	research	research	NOUN
iassist-979	216	7	data	datum	NOUN
iassist-979	216	8	management	management	NOUN
iassist-979	216	9	policy	policy	NOUN
iassist-979	216	10	for	for	ADP
iassist-979	216	11	consultation	consultation	NOUN
iassist-979	216	12	’	'	PUNCT
iassist-979	216	13	.	.	PUNCT
iassist-979	217	1	available	available	ADJ
iassist-979	217	2	at	at	ADP
iassist-979	217	3	https://www.science.gc.ca/eic/site/063.nsf/eng/h_97610.html	https://www.science.gc.ca/eic/site/063.nsf/eng/h_97610.html	PROPN
iassist-979	217	4	domingo	domingo	PROPN
iassist-979	217	5	-	-	PUNCT
iassist-979	217	6	ferrer	ferrer	PROPN
iassist-979	217	7	,	,	PUNCT
iassist-979	217	8	j.	j.	PROPN
iassist-979	217	9	and	and	CCONJ
iassist-979	217	10	torra	torra	PROPN
iassist-979	217	11	,	,	PUNCT
iassist-979	217	12	v.	v.	PROPN
iassist-979	217	13	(	(	PUNCT
iassist-979	217	14	2008	2008	NUM
iassist-979	217	15	)	)	PUNCT
iassist-979	217	16	.	.	PUNCT
iassist-979	218	1	‘	'	PUNCT
iassist-979	218	2	a	a	DET
iassist-979	218	3	critique	critique	NOUN
iassist-979	218	4	of	of	ADP
iassist-979	218	5	k	k	NOUN
iassist-979	218	6	-	-	NOUN
iassist-979	218	7	anonymity	anonymity	NOUN
iassist-979	218	8	and	and	CCONJ
iassist-979	218	9	some	some	PRON
iassist-979	218	10	of	of	ADP
iassist-979	218	11	its	its	PRON
iassist-979	218	12	enhancements	enhancement	NOUN
iassist-979	218	13	’	'	PUNCT
iassist-979	218	14	.	.	PUNCT
iassist-979	219	1	third	third	ADJ
iassist-979	219	2	international	international	ADJ
iassist-979	219	3	conference	conference	NOUN
iassist-979	219	4	on	on	ADP
iassist-979	219	5	availability	availability	NOUN
iassist-979	219	6	,	,	PUNCT
iassist-979	219	7	reliability	reliability	NOUN
iassist-979	219	8	and	and	CCONJ
iassist-979	219	9	security	security	NOUN
iassist-979	219	10	,	,	PUNCT
iassist-979	219	11	ieee	ieee	NOUN
iassist-979	219	12	,	,	PUNCT
iassist-979	219	13	pp	pp	ADJ
iassist-979	219	14	.	.	PUNCT
iassist-979	220	1	990	990	NUM
iassist-979	220	2	-	-	SYM
iassist-979	220	3	993	993	NUM
iassist-979	220	4	.	.	PUNCT
iassist-979	221	1	available	available	ADJ
iassist-979	221	2	at	at	ADP
iassist-979	221	3	https://doi.org/10.1109/ares.2008.97	https://doi.org/10.1109/ares.2008.97	PROPN
iassist-979	221	4	ekos	ekos	PROPN
iassist-979	221	5	research	research	PROPN
iassist-979	221	6	associates	associates	PROPN
iassist-979	221	7	inc	inc	PROPN
iassist-979	221	8	.	.	PROPN
iassist-979	221	9	(	(	PUNCT
iassist-979	221	10	2009	2009	NUM
iassist-979	221	11	)	)	PUNCT
iassist-979	221	12	.	.	PUNCT
iassist-979	222	1	‘	'	PUNCT
iassist-979	222	2	water	water	NOUN
iassist-979	222	3	quality	quality	NOUN
iassist-979	222	4	on	on	ADP
iassist-979	222	5	-	-	PUNCT
iassist-979	222	6	reserve	reserve	NOUN
iassist-979	222	7	quantitative	quantitative	ADJ
iassist-979	222	8	research	research	NOUN
iassist-979	222	9	’	'	PUNCT
iassist-979	222	10	.	.	PUNCT
iassist-979	223	1	available	available	ADJ
iassist-979	223	2	at	at	ADP
iassist-979	223	3	http://www.ekospolitics.com/articles/0559.pdf	http://www.ekospolitics.com/articles/0559.pdf	ADJ
iassist-979	223	4	ekos	ekos	PROPN
iassist-979	223	5	research	research	PROPN
iassist-979	223	6	associates	associates	PROPN
iassist-979	223	7	inc	inc	PROPN
iassist-979	223	8	.	.	PROPN
iassist-979	223	9	(	(	PUNCT
iassist-979	223	10	2011	2011	NUM
iassist-979	223	11	)	)	PUNCT
iassist-979	223	12	.	.	PUNCT
iassist-979	224	1	‘	'	PUNCT
iassist-979	224	2	perceptions	perception	NOUN
iassist-979	224	3	of	of	ADP
iassist-979	224	4	drinking	drink	VERB
iassist-979	224	5	water	water	NOUN
iassist-979	224	6	quality	quality	NOUN
iassist-979	224	7	in	in	ADP
iassist-979	224	8	first	first	ADJ
iassist-979	224	9	nations	nation	NOUN
iassist-979	224	10	communities	community	NOUN
iassist-979	224	11	and	and	CCONJ
iassist-979	224	12	general	general	ADJ
iassist-979	224	13	population	population	NOUN
iassist-979	224	14	’	'	PUNCT
iassist-979	224	15	.	.	PUNCT
iassist-979	225	1	available	available	ADJ
iassist-979	225	2	at	at	ADP
iassist-979	225	3	http://www.ekospolitics.com/articles/015-11.pdf	http://www.ekospolitics.com/articles/015-11.pdf	PROPN
iassist-979	225	4	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	225	5	http://hdl.handle.net/10197/9109	http://hdl.handle.net/10197/9109	VERB
iassist-979	225	6	https://www.science.gc.ca/eic/site/063.nsf/eng/h_97610.html	https://www.science.gc.ca/eic/site/063.nsf/eng/h_97610.html	PROPN
iassist-979	225	7	https://doi.org/10.1109/ares.2008.97	https://doi.org/10.1109/ares.2008.97	PROPN
iassist-979	225	8	http://www.ekospolitics.com/articles/0559.pdf	http://www.ekospolitics.com/articles/0559.pdf	ADJ
iassist-979	225	9	http://www.ekospolitics.com/articles/015-11.pdf	http://www.ekospolitics.com/articles/015-11.pdf	NOUN
iassist-979	225	10	11/13	11/13	NUM
iassist-979	225	11	thompson	thompson	PROPN
iassist-979	225	12	,	,	PUNCT
iassist-979	225	13	kristi	kristi	PROPN
iassist-979	225	14	and	and	CCONJ
iassist-979	225	15	sullivan	sullivan	PROPN
iassist-979	225	16	,	,	PUNCT
iassist-979	225	17	carolyn	carolyn	PROPN
iassist-979	225	18	(	(	PUNCT
iassist-979	225	19	2020	2020	NUM
iassist-979	225	20	)	)	PUNCT
iassist-979	225	21	mathematics	mathematic	NOUN
iassist-979	225	22	,	,	PUNCT
iassist-979	225	23	risk	risk	NOUN
iassist-979	225	24	,	,	PUNCT
iassist-979	225	25	and	and	CCONJ
iassist-979	225	26	messy	messy	ADJ
iassist-979	225	27	survey	survey	NOUN
iassist-979	225	28	data	datum	NOUN
iassist-979	225	29	,	,	PUNCT
iassist-979	225	30	iassist	iassist	VERB
iassist-979	225	31	quarterly	quarterly	ADJ
iassist-979	225	32	44(4	44(4	NOUN
iassist-979	225	33	)	)	PUNCT
iassist-979	225	34	,	,	PUNCT
iassist-979	226	1	pp	pp	ADP
iassist-979	226	2	.	.	PUNCT
iassist-979	227	1	1	1	NUM
iassist-979	227	2	-	-	SYM
iassist-979	227	3	13	13	NUM
iassist-979	227	4	.	.	PUNCT
iassist-979	228	1	doi	doi	NOUN
iassist-979	228	2	:	:	PUNCT
iassist-979	228	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	228	4	elliot	elliot	PROPN
iassist-979	228	5	,	,	PUNCT
iassist-979	228	6	m.	m.	NOUN
iassist-979	228	7	,	,	PUNCT
iassist-979	228	8	mackey	mackey	PROPN
iassist-979	228	9	,	,	PUNCT
iassist-979	228	10	e.	e.	PROPN
iassist-979	228	11	,	,	PUNCT
iassist-979	228	12	o'hara	o'hara	PROPN
iassist-979	228	13	,	,	PUNCT
iassist-979	228	14	k.	k.	PROPN
iassist-979	228	15	and	and	CCONJ
iassist-979	228	16	tudor	tudor	PROPN
iassist-979	228	17	,	,	PUNCT
iassist-979	228	18	c.	c.	PROPN
iassist-979	228	19	(	(	PUNCT
iassist-979	228	20	2016	2016	NUM
iassist-979	228	21	)	)	PUNCT
iassist-979	228	22	.	.	PUNCT
iassist-979	229	1	the	the	DET
iassist-979	229	2	anonymisation	anonymisation	NOUN
iassist-979	229	3	decision	decision	NOUN
iassist-979	229	4	-	-	PUNCT
iassist-979	229	5	making	make	VERB
iassist-979	229	6	framework	framework	NOUN
iassist-979	229	7	,	,	PUNCT
iassist-979	229	8	manchester	manchester	PROPN
iassist-979	229	9	:	:	PUNCT
iassist-979	229	10	ukan	ukan	PROPN
iassist-979	229	11	.	.	PROPN
iassist-979	229	12	available	available	ADJ
iassist-979	229	13	at	at	ADP
iassist-979	229	14	https://ukanon.net/wp-content/uploads/2015/05/theanonymisation-decision-making-framework.pdf	https://ukanon.net/wp-content/uploads/2015/05/theanonymisation-decision-making-framework.pdf	PRON
iassist-979	229	15	environics	environic	NOUN
iassist-979	229	16	research	research	NOUN
iassist-979	229	17	group	group	NOUN
iassist-979	229	18	(	(	PUNCT
iassist-979	229	19	2012	2012	NUM
iassist-979	229	20	)	)	PUNCT
iassist-979	229	21	.	.	PUNCT
iassist-979	230	1	‘	'	PUNCT
iassist-979	230	2	2012	2012	NUM
iassist-979	230	3	national	national	ADJ
iassist-979	230	4	anti‐drug	anti‐drug	NOUN
iassist-979	230	5	strategy	strategy	NOUN
iassist-979	230	6	(	(	PUNCT
iassist-979	230	7	nads	nad	NOUN
iassist-979	230	8	)	)	PUNCT
iassist-979	230	9	youth	youth	NOUN
iassist-979	230	10	advertising	advertising	NOUN
iassist-979	230	11	recall	recall	NOUN
iassist-979	230	12	and	and	CCONJ
iassist-979	230	13	tracking	tracking	NOUN
iassist-979	230	14	survey	survey	NOUN
iassist-979	230	15	’	'	PUNCT
iassist-979	230	16	.	.	PUNCT
iassist-979	231	1	available	available	ADJ
iassist-979	231	2	at	at	ADP
iassist-979	231	3	https://epe.lac-bac.gc.ca/100/200/301/pwgsc-tpsgc/poref/health/2012/068-11/report.pdf	https://epe.lac-bac.gc.ca/100/200/301/pwgsc-tpsgc/poref/health/2012/068-11/report.pdf	PROPN
iassist-979	231	4	first	first	ADJ
iassist-979	231	5	nations	nations	PROPN
iassist-979	231	6	information	information	NOUN
iassist-979	231	7	governance	governance	NOUN
iassist-979	231	8	centre	centre	NOUN
iassist-979	231	9	(	(	PUNCT
iassist-979	231	10	2014	2014	NUM
iassist-979	231	11	)	)	PUNCT
iassist-979	231	12	.	.	PUNCT
iassist-979	232	1	‘	'	PUNCT
iassist-979	232	2	ownership	ownership	NOUN
iassist-979	232	3	,	,	PUNCT
iassist-979	232	4	control	control	NOUN
iassist-979	232	5	,	,	PUNCT
iassist-979	232	6	access	access	NOUN
iassist-979	232	7	and	and	CCONJ
iassist-979	232	8	possession	possession	NOUN
iassist-979	232	9	(	(	PUNCT
iassist-979	232	10	ocap	ocap	PROPN
iassist-979	232	11	™	™	PROPN
iassist-979	232	12	):	):	PUNCT
iassist-979	232	13	the	the	DET
iassist-979	232	14	path	path	NOUN
iassist-979	232	15	to	to	ADP
iassist-979	232	16	first	first	PROPN
iassist-979	232	17	nations	nations	PROPN
iassist-979	232	18	information	information	NOUN
iassist-979	232	19	governance	governance	NOUN
iassist-979	232	20	’	'	PUNCT
iassist-979	232	21	.	.	PUNCT
iassist-979	233	1	available	available	ADJ
iassist-979	233	2	at	at	ADP
iassist-979	233	3	https://fnigc.ca/sites/default/files/docs/ocap_path_to_fn_information_governance_en_final.pdf	https://fnigc.ca/sites/default/files/docs/ocap_path_to_fn_information_governance_en_final.pdf	PROPN
iassist-979	233	4	geonames	geoname	NOUN
iassist-979	233	5	team	team	NOUN
iassist-979	233	6	(	(	PUNCT
iassist-979	233	7	2018	2018	NUM
iassist-979	233	8	)	)	PUNCT
iassist-979	233	9	.	.	PUNCT
iassist-979	234	1	‘	'	PUNCT
iassist-979	234	2	geonames	geoname	NOUN
iassist-979	234	3	’	'	PUNCT
iassist-979	234	4	.	.	PUNCT
iassist-979	235	1	available	available	ADJ
iassist-979	235	2	at	at	ADP
iassist-979	235	3	https://www.geonames.org/export/webservices.html	https://www.geonames.org/export/webservices.html	NOUN
iassist-979	235	4	government	government	NOUN
iassist-979	235	5	of	of	ADP
iassist-979	235	6	canada	canada	PROPN
iassist-979	235	7	|	|	ADV
iassist-979	235	8	gouvernement	gouvernement	PROPN
iassist-979	235	9	du	du	PROPN
iassist-979	235	10	canada	canada	PROPN
iassist-979	235	11	.	.	PUNCT
iassist-979	236	1	(	(	PUNCT
iassist-979	236	2	2014	2014	NUM
iassist-979	236	3	)	)	PUNCT
iassist-979	236	4	.	.	PUNCT
iassist-979	237	1	canada	canada	PROPN
iassist-979	237	2	's	's	PART
iassist-979	237	3	action	action	NOUN
iassist-979	237	4	plan	plan	NOUN
iassist-979	237	5	on	on	ADP
iassist-979	237	6	open	open	ADJ
iassist-979	237	7	government	government	NOUN
iassist-979	237	8	2014	2014	NUM
iassist-979	237	9	-	-	SYM
iassist-979	237	10	16	16	NUM
iassist-979	237	11	.	.	PUNCT
iassist-979	237	12	available	available	ADJ
iassist-979	237	13	at	at	ADP
iassist-979	237	14	https://open.canada.ca/en/content/canadas-action-plan-opengovernment-2014-16	https://open.canada.ca/en/content/canadas-action-plan-opengovernment-2014-16	PUNCT
iassist-979	237	15	government	government	NOUN
iassist-979	237	16	of	of	ADP
iassist-979	237	17	canada	canada	PROPN
iassist-979	237	18	|	|	ADV
iassist-979	237	19	gouvernement	gouvernement	PROPN
iassist-979	237	20	du	du	PROPN
iassist-979	237	21	canada	canada	PROPN
iassist-979	237	22	.	.	PUNCT
iassist-979	238	1	(	(	PUNCT
iassist-979	238	2	2018	2018	NUM
iassist-979	238	3	)	)	PUNCT
iassist-979	238	4	.	.	PUNCT
iassist-979	239	1	‘	'	PUNCT
iassist-979	239	2	geolocation	geolocation	NOUN
iassist-979	239	3	service	service	NOUN
iassist-979	239	4	’	'	PUNCT
iassist-979	239	5	.	.	PUNCT
iassist-979	240	1	available	available	ADJ
iassist-979	240	2	at	at	ADP
iassist-979	240	3	https://www.nrcan.gc.ca/earth-sciences/geography/topographic-information/webservices/geolocation-service/17304	https://www.nrcan.gc.ca/earth-sciences/geography/topographic-information/webservices/geolocation-service/17304	PROPN
iassist-979	240	4	government	government	NOUN
iassist-979	240	5	of	of	ADP
iassist-979	240	6	canada	canada	PROPN
iassist-979	241	1	|	|	ADV
iassist-979	241	2	gouvernment	gouvernment	PROPN
iassist-979	241	3	du	du	PROPN
iassist-979	241	4	canada	canada	PROPN
iassist-979	241	5	(	(	PUNCT
iassist-979	241	6	2020	2020	NUM
iassist-979	241	7	)	)	PUNCT
iassist-979	241	8	.	.	PUNCT
iassist-979	242	1	‘	'	PUNCT
iassist-979	242	2	ending	end	VERB
iassist-979	242	3	long	long	ADJ
iassist-979	242	4	-	-	PUNCT
iassist-979	242	5	term	term	NOUN
iassist-979	242	6	drinking	drinking	NOUN
iassist-979	242	7	water	water	NOUN
iassist-979	242	8	advisories	advisory	NOUN
iassist-979	242	9	’	'	PUNCT
iassist-979	242	10	,	,	PUNCT
iassist-979	242	11	government	government	NOUN
iassist-979	242	12	of	of	ADP
iassist-979	242	13	canada	canada	PROPN
iassist-979	242	14	|	|	ADV
iassist-979	242	15	gouvernement	gouvernement	PROPN
iassist-979	242	16	du	du	PROPN
iassist-979	242	17	canada	canada	PROPN
iassist-979	242	18	.	.	PUNCT
iassist-979	243	1	available	available	ADJ
iassist-979	243	2	at	at	ADP
iassist-979	243	3	https://www.sacisc.gc.ca/eng/1506514143353/1533317130660	https://www.sacisc.gc.ca/eng/1506514143353/1533317130660	PROPN
iassist-979	243	4	richardson	richardson	PROPN
iassist-979	243	5	,	,	PUNCT
iassist-979	243	6	l.	l.	PROPN
iassist-979	243	7	(	(	PUNCT
iassist-979	243	8	2020	2020	NUM
iassist-979	243	9	)	)	PUNCT
iassist-979	243	10	.	.	PUNCT
iassist-979	244	1	‘	'	PUNCT
iassist-979	244	2	beautiful	beautiful	ADJ
iassist-979	244	3	soup	soup	NOUN
iassist-979	244	4	4.9.1	4.9.1	NUM
iassist-979	244	5	’	'	PUNCT
iassist-979	244	6	.	.	PUNCT
iassist-979	245	1	available	available	ADJ
iassist-979	245	2	at	at	ADP
iassist-979	245	3	https://www.crummy.com/software/beautifulsoup	https://www.crummy.com/software/beautifulsoup	PROPN
iassist-979	245	4	samarati	samarati	NOUN
iassist-979	245	5	,	,	PUNCT
iassist-979	245	6	p.	p.	NOUN
iassist-979	245	7	and	and	CCONJ
iassist-979	245	8	sweeney	sweeney	PROPN
iassist-979	245	9	,	,	PUNCT
iassist-979	245	10	l.	l.	PROPN
iassist-979	245	11	(	(	PUNCT
iassist-979	245	12	1998	1998	NUM
iassist-979	245	13	)	)	PUNCT
iassist-979	245	14	.	.	PUNCT
iassist-979	246	1	‘	'	PUNCT
iassist-979	246	2	protecting	protect	VERB
iassist-979	246	3	privacy	privacy	NOUN
iassist-979	246	4	when	when	SCONJ
iassist-979	246	5	disclosing	disclose	VERB
iassist-979	246	6	information	information	NOUN
iassist-979	246	7	:	:	PUNCT
iassist-979	246	8	k	k	X
iassist-979	246	9	-	-	PUNCT
iassist-979	246	10	anonymity	anonymity	NOUN
iassist-979	246	11	and	and	CCONJ
iassist-979	246	12	its	its	PRON
iassist-979	246	13	enforcement	enforcement	NOUN
iassist-979	246	14	through	through	ADP
iassist-979	246	15	generalization	generalization	NOUN
iassist-979	246	16	and	and	CCONJ
iassist-979	246	17	suppression	suppression	NOUN
iassist-979	246	18	’	'	PUNCT
iassist-979	246	19	.	.	PUNCT
iassist-979	247	1	proceedings	proceeding	NOUN
iassist-979	247	2	of	of	ADP
iassist-979	247	3	the	the	DET
iassist-979	247	4	ieee	ieee	NOUN
iassist-979	247	5	symposium	symposium	NOUN
iassist-979	247	6	on	on	ADP
iassist-979	247	7	research	research	NOUN
iassist-979	247	8	in	in	ADP
iassist-979	247	9	security	security	NOUN
iassist-979	247	10	and	and	CCONJ
iassist-979	247	11	privacy	privacy	NOUN
iassist-979	247	12	,	,	PUNCT
iassist-979	247	13	oakland	oakland	PROPN
iassist-979	247	14	,	,	PUNCT
iassist-979	247	15	ca	ca	PROPN
iassist-979	247	16	.	.	PUNCT
iassist-979	247	17	available	available	ADJ
iassist-979	247	18	at	at	ADP
iassist-979	247	19	https://dataprivacylab.org/dataprivacy/projects/kanonymity/paper3.pdf	https://dataprivacylab.org/dataprivacy/projects/kanonymity/paper3.pdf	PROPN
iassist-979	247	20	simi	simi	PROPN
iassist-979	247	21	,	,	PUNCT
iassist-979	247	22	m	m	PROPN
iassist-979	247	23	s	s	NOUN
iassist-979	247	24	;	;	PUNCT
iassist-979	247	25	sankara	sankara	PROPN
iassist-979	247	26	,	,	PUNCT
iassist-979	247	27	nayaki	nayaki	ADJ
iassist-979	247	28	and	and	CCONJ
iassist-979	247	29	sudheep	sudheep	ADJ
iassist-979	247	30	elayidom	elayidom	NOUN
iassist-979	247	31	,	,	PUNCT
iassist-979	247	32	m.	m.	NOUN
iassist-979	247	33	(	(	PUNCT
iassist-979	247	34	2017	2017	NUM
iassist-979	247	35	)	)	PUNCT
iassist-979	247	36	.	.	PUNCT
iassist-979	248	1	‘	'	PUNCT
iassist-979	248	2	an	an	DET
iassist-979	248	3	extensive	extensive	ADJ
iassist-979	248	4	study	study	NOUN
iassist-979	248	5	on	on	ADP
iassist-979	248	6	data	datum	NOUN
iassist-979	248	7	anonymization	anonymization	NOUN
iassist-979	248	8	algorithms	algorithm	NOUN
iassist-979	248	9	based	base	VERB
iassist-979	248	10	on	on	ADP
iassist-979	248	11	k	k	PROPN
iassist-979	248	12	-	-	NOUN
iassist-979	248	13	anonymity	anonymity	NOUN
iassist-979	248	14	’	'	PUNCT
iassist-979	248	15	.	.	PUNCT
iassist-979	249	1	iop	iop	PROPN
iassist-979	249	2	conf	conf	PROPN
iassist-979	249	3	.	.	PUNCT
iassist-979	250	1	series	series	NOUN
iassist-979	250	2	:	:	PUNCT
iassist-979	250	3	materials	material	NOUN
iassist-979	250	4	science	science	NOUN
iassist-979	250	5	and	and	CCONJ
iassist-979	250	6	engineering	engineering	NOUN
iassist-979	250	7	,	,	PUNCT
iassist-979	250	8	225	225	NUM
iassist-979	250	9	.	.	PUNCT
iassist-979	250	10	available	available	ADJ
iassist-979	250	11	at	at	ADP
iassist-979	250	12	https://doi.org/10.1088/1757-899x/225/1/012279	https://doi.org/10.1088/1757-899x/225/1/012279	PROPN
iassist-979	250	13	statistics	statistic	NOUN
iassist-979	250	14	canada	canada	PROPN
iassist-979	250	15	(	(	PUNCT
iassist-979	250	16	2019	2019	NUM
iassist-979	250	17	)	)	PUNCT
iassist-979	250	18	.	.	PUNCT
iassist-979	251	1	‘	'	PUNCT
iassist-979	251	2	2016	2016	NUM
iassist-979	251	3	census	census	NOUN
iassist-979	251	4	of	of	ADP
iassist-979	251	5	population	population	NOUN
iassist-979	251	6	[	[	X
iassist-979	251	7	canada	canada	X
iassist-979	251	8	]	]	X
iassist-979	251	9	public	public	ADJ
iassist-979	251	10	use	use	NOUN
iassist-979	251	11	microdata	microdata	NOUN
iassist-979	251	12	file	file	NOUN
iassist-979	251	13	(	(	PUNCT
iassist-979	251	14	pumf	pumf	PROPN
iassist-979	251	15	):	):	PUNCT
iassist-979	251	16	individuals	individual	NOUN
iassist-979	251	17	file	file	VERB
iassist-979	251	18	[	[	PUNCT
iassist-979	251	19	public	public	ADJ
iassist-979	251	20	use	use	NOUN
iassist-979	251	21	microdata	microdata	NOUN
iassist-979	251	22	file	file	NOUN
iassist-979	251	23	]	]	PUNCT
iassist-979	251	24	’	'	PUNCT
iassist-979	251	25	,	,	PUNCT
iassist-979	251	26	ottawa	ottawa	PROPN
iassist-979	251	27	,	,	PUNCT
iassist-979	251	28	ontario	ontario	PROPN
iassist-979	251	29	:	:	PUNCT
iassist-979	251	30	statistics	statistics	PROPN
iassist-979	251	31	canada	canada	PROPN
iassist-979	252	1	[	[	X
iassist-979	252	2	producer	producer	NOUN
iassist-979	252	3	and	and	CCONJ
iassist-979	252	4	distributor	distributor	NOUN
iassist-979	252	5	]	]	PUNCT
iassist-979	252	6	.	.	PUNCT
iassist-979	253	1	accessed	access	VERB
iassist-979	253	2	through	through	ADP
iassist-979	253	3	odesi	odesi	NUM
iassist-979	253	4	,	,	PUNCT
iassist-979	253	5	http://odesi.ca	http://odesi.ca	X
iassist-979	253	6	thompson	thompson	NOUN
iassist-979	253	7	,	,	PUNCT
iassist-979	253	8	k.	k.	PROPN
iassist-979	253	9	,	,	PUNCT
iassist-979	253	10	(	(	PUNCT
iassist-979	253	11	2018	2018	NUM
iassist-979	253	12	)	)	PUNCT
iassist-979	253	13	.	.	PUNCT
iassist-979	254	1	‘	'	PUNCT
iassist-979	254	2	documentation	documentation	NOUN
iassist-979	254	3	as	as	ADP
iassist-979	254	4	data	data	NOUN
iassist-979	254	5	rescue	rescue	NOUN
iassist-979	254	6	:	:	PUNCT
iassist-979	254	7	restoring	restore	VERB
iassist-979	254	8	a	a	DET
iassist-979	254	9	collection	collection	NOUN
iassist-979	254	10	of	of	ADP
iassist-979	254	11	canadian	canadian	ADJ
iassist-979	254	12	health	health	NOUN
iassist-979	254	13	survey	survey	NOUN
iassist-979	254	14	files	file	NOUN
iassist-979	254	15	’	'	PUNCT
iassist-979	254	16	.	.	PUNCT
iassist-979	255	1	against	against	ADP
iassist-979	255	2	the	the	DET
iassist-979	255	3	grain	grain	NOUN
iassist-979	255	4	,	,	PUNCT
iassist-979	255	5	29(6	29(6	NUM
iassist-979	255	6	)	)	PUNCT
iassist-979	255	7	,	,	PUNCT
iassist-979	255	8	p.12	p.12	X
iassist-979	255	9	.	.	NOUN
iassist-979	255	10	available	available	ADJ
iassist-979	255	11	at	at	ADP
iassist-979	255	12	https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=7876&context=atg	https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=7876&context=atg	PROPN
iassist-979	255	13	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	255	14	https://ukanon.net/wp-content/uploads/2015/05/the-anonymisation-decision-making-framework.pdf	https://ukanon.net/wp-content/uploads/2015/05/the-anonymisation-decision-making-framework.pdf	X
iassist-979	255	15	https://ukanon.net/wp-content/uploads/2015/05/the-anonymisation-decision-making-framework.pdf	https://ukanon.net/wp-content/uploads/2015/05/the-anonymisation-decision-making-framework.pdf	NUM
iassist-979	255	16	https://epe.lac-bac.gc.ca/100/200/301/pwgsc-tpsgc/por-ef/health/2012/068-11/report.pdf	https://epe.lac-bac.gc.ca/100/200/301/pwgsc-tpsgc/por-ef/health/2012/068-11/report.pdf	NOUN
iassist-979	255	17	https://epe.lac-bac.gc.ca/100/200/301/pwgsc-tpsgc/por-ef/health/2012/068-11/report.pdf	https://epe.lac-bac.gc.ca/100/200/301/pwgsc-tpsgc/por-ef/health/2012/068-11/report.pdf	NOUN
iassist-979	255	18	https://fnigc.ca/sites/default/files/docs/ocap_path_to_fn_information_governance_en_final.pdf	https://fnigc.ca/sites/default/files/docs/ocap_path_to_fn_information_governance_en_final.pdf	NOUN
iassist-979	255	19	https://www.geonames.org/export/web-services.html	https://www.geonames.org/export/web-services.html	PRON
iassist-979	255	20	https://www.geonames.org/export/web-services.html	https://www.geonames.org/export/web-services.html	INTJ
iassist-979	255	21	https://open.canada.ca/en/content/canadas-action-plan-open-government-2014-16	https://open.canada.ca/en/content/canadas-action-plan-open-government-2014-16	VERB
iassist-979	256	1	https://open.canada.ca/en/content/canadas-action-plan-open-government-2014-16	https://open.canada.ca/en/content/canadas-action-plan-open-government-2014-16	NOUN
iassist-979	256	2	https://www.nrcan.gc.ca/earth-sciences/geography/topographic-information/web-services/geolocation-service/17304	https://www.nrcan.gc.ca/earth-sciences/geography/topographic-information/web-services/geolocation-service/17304	PROPN
iassist-979	256	3	https://www.nrcan.gc.ca/earth-sciences/geography/topographic-information/web-services/geolocation-service/17304	https://www.nrcan.gc.ca/earth-sciences/geography/topographic-information/web-services/geolocation-service/17304	PROPN
iassist-979	256	4	https://www.sac-isc.gc.ca/eng/1506514143353/1533317130660	https://www.sac-isc.gc.ca/eng/1506514143353/1533317130660	NOUN
iassist-979	256	5	https://www.sac-isc.gc.ca/eng/1506514143353/1533317130660	https://www.sac-isc.gc.ca/eng/1506514143353/1533317130660	NOUN
iassist-979	256	6	https://www.crummy.com/software/beautifulsoup	https://www.crummy.com/software/beautifulsoup	NOUN
iassist-979	256	7	https://dataprivacylab.org/dataprivacy/projects/kanonymity/paper3.pdf	https://dataprivacylab.org/dataprivacy/projects/kanonymity/paper3.pdf	NOUN
iassist-979	256	8	https://doi.org/10.1088/1757-899x/225/1/012279	https://doi.org/10.1088/1757-899x/225/1/012279	NOUN
iassist-979	256	9	http://odesi.ca/	http://odesi.ca/	PROPN
iassist-979	256	10	https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=7876&context=atg	https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=7876&context=atg	PROPN
iassist-979	256	11	12/13	12/13	NUM
iassist-979	256	12	thompson	thompson	PROPN
iassist-979	256	13	,	,	PUNCT
iassist-979	256	14	kristi	kristi	PROPN
iassist-979	256	15	and	and	CCONJ
iassist-979	256	16	sullivan	sullivan	PROPN
iassist-979	256	17	,	,	PUNCT
iassist-979	256	18	carolyn	carolyn	PROPN
iassist-979	256	19	(	(	PUNCT
iassist-979	256	20	2020	2020	NUM
iassist-979	256	21	)	)	PUNCT
iassist-979	256	22	mathematics	mathematic	NOUN
iassist-979	256	23	,	,	PUNCT
iassist-979	256	24	risk	risk	NOUN
iassist-979	256	25	,	,	PUNCT
iassist-979	256	26	and	and	CCONJ
iassist-979	256	27	messy	messy	ADJ
iassist-979	256	28	survey	survey	NOUN
iassist-979	256	29	data	datum	NOUN
iassist-979	256	30	,	,	PUNCT
iassist-979	256	31	iassist	iassist	VERB
iassist-979	256	32	quarterly	quarterly	ADJ
iassist-979	256	33	44(4	44(4	NOUN
iassist-979	256	34	)	)	PUNCT
iassist-979	256	35	,	,	PUNCT
iassist-979	256	36	pp	pp	ADP
iassist-979	256	37	.	.	PUNCT
iassist-979	257	1	1	1	NUM
iassist-979	257	2	-	-	SYM
iassist-979	257	3	13	13	NUM
iassist-979	257	4	.	.	PUNCT
iassist-979	258	1	doi	doi	NOUN
iassist-979	258	2	:	:	PUNCT
iassist-979	258	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	258	4	u.k	u.k	PROPN
iassist-979	258	5	.	.	PROPN
iassist-979	258	6	economic	economic	ADJ
iassist-979	258	7	and	and	CCONJ
iassist-979	258	8	social	social	ADJ
iassist-979	258	9	research	research	NOUN
iassist-979	258	10	council	council	NOUN
iassist-979	258	11	(	(	PUNCT
iassist-979	258	12	2018	2018	NUM
iassist-979	258	13	)	)	PUNCT
iassist-979	258	14	.	.	PUNCT
iassist-979	259	1	‘	'	PUNCT
iassist-979	259	2	research	research	NOUN
iassist-979	259	3	data	datum	NOUN
iassist-979	259	4	policy	policy	NOUN
iassist-979	259	5	’	'	PUNCT
iassist-979	259	6	.	.	PUNCT
iassist-979	260	1	available	available	ADJ
iassist-979	260	2	at	at	ADP
iassist-979	260	3	https://esrc.ukri.org/funding/guidance-for-grant-holders/research-data-policy/	https://esrc.ukri.org/funding/guidance-for-grant-holders/research-data-policy/	PROPN
iassist-979	260	4	u.s	u.s	PROPN
iassist-979	260	5	.	.	PROPN
iassist-979	260	6	national	national	PROPN
iassist-979	260	7	science	science	PROPN
iassist-979	260	8	foundation	foundation	PROPN
iassist-979	260	9	(	(	PUNCT
iassist-979	260	10	2011	2011	NUM
iassist-979	260	11	)	)	PUNCT
iassist-979	260	12	.	.	PUNCT
iassist-979	261	1	‘	'	PUNCT
iassist-979	261	2	dissemination	dissemination	NOUN
iassist-979	261	3	and	and	CCONJ
iassist-979	261	4	sharing	sharing	NOUN
iassist-979	261	5	of	of	ADP
iassist-979	261	6	research	research	NOUN
iassist-979	261	7	results	result	NOUN
iassist-979	261	8	’	'	PUNCT
iassist-979	261	9	.	.	PUNCT
iassist-979	262	1	available	available	ADJ
iassist-979	262	2	at	at	ADP
iassist-979	262	3	https://www.nsf.gov/bfa/dias/policy/dmp.jsp	https://www.nsf.gov/bfa/dias/policy/dmp.jsp	PROPN
iassist-979	262	4	1kristi	1kristi	NUM
iassist-979	262	5	thompson	thompson	NOUN
iassist-979	262	6	is	be	AUX
iassist-979	262	7	the	the	DET
iassist-979	262	8	research	research	NOUN
iassist-979	262	9	data	datum	NOUN
iassist-979	262	10	management	management	NOUN
iassist-979	262	11	librarian	librarian	NOUN
iassist-979	262	12	at	at	ADP
iassist-979	262	13	western	western	ADJ
iassist-979	262	14	university	university	NOUN
iassist-979	262	15	and	and	CCONJ
iassist-979	262	16	can	can	AUX
iassist-979	262	17	be	be	AUX
iassist-979	262	18	reached	reach	VERB
iassist-979	262	19	by	by	ADP
iassist-979	262	20	email	email	NOUN
iassist-979	262	21	:	:	PUNCT
iassist-979	262	22	kthom67@uwo.ca	kthom67@uwo.ca	NOUN
iassist-979	262	23	.	.	PUNCT
iassist-979	263	1	carolyn	carolyn	PROPN
iassist-979	263	2	sullivan	sullivan	PROPN
iassist-979	263	3	is	be	AUX
iassist-979	263	4	a	a	DET
iassist-979	263	5	student	student	NOUN
iassist-979	263	6	in	in	ADP
iassist-979	263	7	the	the	DET
iassist-979	263	8	faculty	faculty	NOUN
iassist-979	263	9	of	of	ADP
iassist-979	263	10	information	information	NOUN
iassist-979	263	11	and	and	CCONJ
iassist-979	263	12	media	medium	NOUN
iassist-979	263	13	studies	study	NOUN
iassist-979	263	14	at	at	ADP
iassist-979	263	15	western	western	ADJ
iassist-979	263	16	university	university	NOUN
iassist-979	263	17	.	.	PUNCT
iassist-979	264	1	2	2	NUM
iassist-979	264	2	inferential	inferential	ADJ
iassist-979	264	3	disclosure	disclosure	NOUN
iassist-979	264	4	determining	determine	VERB
iassist-979	264	5	from	from	ADP
iassist-979	264	6	a	a	DET
iassist-979	264	7	dataset	dataset	NOUN
iassist-979	264	8	that	that	SCONJ
iassist-979	264	9	having	have	VERB
iassist-979	264	10	a	a	DET
iassist-979	264	11	particular	particular	ADJ
iassist-979	264	12	combination	combination	NOUN
iassist-979	264	13	of	of	ADP
iassist-979	264	14	characteristics	characteristic	NOUN
iassist-979	264	15	makes	make	VERB
iassist-979	264	16	an	an	DET
iassist-979	264	17	individual	individual	NOUN
iassist-979	264	18	more	more	ADV
iassist-979	264	19	likely	likely	ADJ
iassist-979	264	20	to	to	PART
iassist-979	264	21	possess	possess	VERB
iassist-979	264	22	some	some	DET
iassist-979	264	23	attribute	attribute	NOUN
iassist-979	264	24	is	be	AUX
iassist-979	264	25	occasionally	occasionally	ADV
iassist-979	264	26	mentioned	mention	VERB
iassist-979	264	27	in	in	ADP
iassist-979	264	28	the	the	DET
iassist-979	264	29	literature	literature	NOUN
iassist-979	264	30	.	.	PUNCT
iassist-979	265	1	as	as	SCONJ
iassist-979	265	2	forming	form	VERB
iassist-979	265	3	inferences	inference	NOUN
iassist-979	265	4	is	be	AUX
iassist-979	265	5	the	the	DET
iassist-979	265	6	point	point	NOUN
iassist-979	265	7	of	of	ADP
iassist-979	265	8	most	most	ADJ
iassist-979	265	9	research	research	NOUN
iassist-979	265	10	this	this	PRON
iassist-979	265	11	is	be	AUX
iassist-979	265	12	not	not	PART
iassist-979	265	13	something	something	PRON
iassist-979	265	14	that	that	PRON
iassist-979	265	15	can	can	AUX
iassist-979	265	16	be	be	AUX
iassist-979	265	17	eliminated	eliminate	VERB
iassist-979	265	18	in	in	ADP
iassist-979	265	19	the	the	DET
iassist-979	265	20	general	general	ADJ
iassist-979	265	21	case	case	NOUN
iassist-979	265	22	.	.	PUNCT
iassist-979	266	1	more	more	ADV
iassist-979	266	2	generally	generally	ADV
iassist-979	266	3	the	the	DET
iassist-979	266	4	issue	issue	NOUN
iassist-979	266	5	of	of	ADP
iassist-979	266	6	community	community	NOUN
iassist-979	266	7	stigmatization	stigmatization	NOUN
iassist-979	266	8	should	should	AUX
iassist-979	266	9	be	be	AUX
iassist-979	266	10	considered	consider	VERB
iassist-979	266	11	as	as	ADP
iassist-979	266	12	a	a	DET
iassist-979	266	13	part	part	NOUN
iassist-979	266	14	of	of	ADP
iassist-979	266	15	the	the	DET
iassist-979	266	16	general	general	ADJ
iassist-979	266	17	ethical	ethical	ADJ
iassist-979	266	18	review	review	NOUN
iassist-979	266	19	of	of	ADP
iassist-979	266	20	datasets	dataset	NOUN
iassist-979	266	21	,	,	PUNCT
iassist-979	266	22	but	but	CCONJ
iassist-979	266	23	this	this	PRON
iassist-979	266	24	is	be	AUX
iassist-979	266	25	not	not	PART
iassist-979	266	26	precisely	precisely	ADV
iassist-979	266	27	a	a	DET
iassist-979	266	28	deidentification	deidentification	NOUN
iassist-979	266	29	problem	problem	NOUN
iassist-979	266	30	and	and	CCONJ
iassist-979	266	31	is	be	AUX
iassist-979	266	32	beyond	beyond	ADP
iassist-979	266	33	the	the	DET
iassist-979	266	34	scope	scope	NOUN
iassist-979	266	35	of	of	ADP
iassist-979	266	36	this	this	DET
iassist-979	266	37	article	article	NOUN
iassist-979	266	38	.	.	PUNCT
iassist-979	267	1	3	3	NUM
iassist-979	267	2	a	a	DET
iassist-979	267	3	long	long	ADJ
iassist-979	267	4	form	form	NOUN
iassist-979	267	5	census	census	NOUN
iassist-979	267	6	of	of	ADP
iassist-979	267	7	canada	canada	PROPN
iassist-979	267	8	was	be	AUX
iassist-979	267	9	not	not	PART
iassist-979	267	10	conducted	conduct	VERB
iassist-979	267	11	in	in	ADP
iassist-979	267	12	2011	2011	NUM
iassist-979	267	13	as	as	SCONJ
iassist-979	267	14	it	it	PRON
iassist-979	267	15	would	would	AUX
iassist-979	267	16	usually	usually	ADV
iassist-979	267	17	have	have	AUX
iassist-979	267	18	been	be	AUX
iassist-979	267	19	,	,	PUNCT
iassist-979	267	20	so	so	ADV
iassist-979	267	21	2016	2016	NUM
iassist-979	267	22	was	be	AUX
iassist-979	267	23	the	the	DET
iassist-979	267	24	closest	close	ADV
iassist-979	267	25	available	available	ADJ
iassist-979	267	26	census	census	NOUN
iassist-979	267	27	occurring	occur	VERB
iassist-979	267	28	after	after	ADP
iassist-979	267	29	the	the	DET
iassist-979	267	30	2009	2009	NUM
iassist-979	267	31	survey	survey	NOUN
iassist-979	267	32	.	.	PUNCT
iassist-979	268	1	4	4	NUM
iassist-979	268	2	the	the	DET
iassist-979	268	3	history	history	NOUN
iassist-979	268	4	of	of	ADP
iassist-979	268	5	research	research	NOUN
iassist-979	268	6	on	on	ADP
iassist-979	268	7	first	first	ADJ
iassist-979	268	8	nations	nations	NOUN
iassist-979	268	9	peoples	people	NOUN
iassist-979	268	10	in	in	ADP
iassist-979	268	11	canada	canada	PROPN
iassist-979	268	12	is	be	AUX
iassist-979	268	13	complex	complex	ADJ
iassist-979	268	14	and	and	CCONJ
iassist-979	268	15	deeply	deeply	ADV
iassist-979	268	16	problematic	problematic	ADJ
iassist-979	268	17	.	.	PUNCT
iassist-979	269	1	as	as	SCONJ
iassist-979	269	2	an	an	DET
iassist-979	269	3	official	official	ADJ
iassist-979	269	4	government	government	NOUN
iassist-979	269	5	survey	survey	VERB
iassist-979	269	6	this	this	DET
iassist-979	269	7	data	datum	NOUN
iassist-979	269	8	on	on	ADP
iassist-979	269	9	water	water	NOUN
iassist-979	269	10	collection	collection	NOUN
iassist-979	269	11	did	do	AUX
iassist-979	269	12	not	not	PART
iassist-979	269	13	fall	fall	VERB
iassist-979	269	14	under	under	ADP
iassist-979	269	15	ocap	ocap	NOUN
iassist-979	269	16	,	,	PUNCT
iassist-979	269	17	but	but	CCONJ
iassist-979	269	18	we	we	PRON
iassist-979	269	19	felt	feel	VERB
iassist-979	269	20	the	the	DET
iassist-979	269	21	principle	principle	NOUN
iassist-979	269	22	of	of	ADP
iassist-979	269	23	first	first	ADJ
iassist-979	269	24	nation	nation	NOUN
iassist-979	269	25	community	community	NOUN
iassist-979	269	26	rights	right	NOUN
iassist-979	269	27	to	to	ADP
iassist-979	269	28	privacy	privacy	NOUN
iassist-979	269	29	should	should	AUX
iassist-979	269	30	apply	apply	VERB
iassist-979	269	31	when	when	SCONJ
iassist-979	269	32	we	we	PRON
iassist-979	269	33	prepared	prepare	VERB
iassist-979	269	34	the	the	DET
iassist-979	269	35	public	public	ADJ
iassist-979	269	36	version	version	NOUN
iassist-979	269	37	for	for	ADP
iassist-979	269	38	deposit	deposit	NOUN
iassist-979	269	39	.	.	PUNCT
iassist-979	270	1	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	270	2	https://esrc.ukri.org/funding/guidance-for-grant-holders/research-data-policy/	https://esrc.ukri.org/funding/guidance-for-grant-holders/research-data-policy/	PROPN
iassist-979	270	3	https://www.nsf.gov/bfa/dias/policy/dmp.jsp	https://www.nsf.gov/bfa/dias/policy/dmp.jsp	NOUN
iassist-979	271	1	mailto:kthom67@uwo.ca	mailto:kthom67@uwo.ca	PROPN
iassist-979	271	2	13/13	13/13	NUM
iassist-979	271	3	thompson	thompson	NOUN
iassist-979	271	4	,	,	PUNCT
iassist-979	271	5	kristi	kristi	PROPN
iassist-979	271	6	and	and	CCONJ
iassist-979	271	7	sullivan	sullivan	PROPN
iassist-979	271	8	,	,	PUNCT
iassist-979	271	9	carolyn	carolyn	PROPN
iassist-979	271	10	(	(	PUNCT
iassist-979	271	11	2020	2020	NUM
iassist-979	271	12	)	)	PUNCT
iassist-979	271	13	mathematics	mathematic	NOUN
iassist-979	271	14	,	,	PUNCT
iassist-979	271	15	risk	risk	NOUN
iassist-979	271	16	,	,	PUNCT
iassist-979	271	17	and	and	CCONJ
iassist-979	271	18	messy	messy	ADJ
iassist-979	271	19	survey	survey	NOUN
iassist-979	271	20	data	datum	NOUN
iassist-979	271	21	,	,	PUNCT
iassist-979	271	22	iassist	iassist	VERB
iassist-979	271	23	quarterly	quarterly	ADJ
iassist-979	271	24	44(4	44(4	NOUN
iassist-979	271	25	)	)	PUNCT
iassist-979	271	26	,	,	PUNCT
iassist-979	271	27	pp	pp	ADP
iassist-979	271	28	.	.	PUNCT
iassist-979	272	1	1	1	NUM
iassist-979	272	2	-	-	SYM
iassist-979	272	3	13	13	NUM
iassist-979	272	4	.	.	PUNCT
iassist-979	273	1	doi	doi	NOUN
iassist-979	273	2	:	:	PUNCT
iassist-979	273	3	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN
iassist-979	273	4	appendix	appendix	PROPN
iassist-979	273	5	:	:	PUNCT
iassist-979	273	6	code	code	NOUN
iassist-979	273	7	for	for	ADP
iassist-979	273	8	finding	find	VERB
iassist-979	273	9	equivalence	equivalence	NOUN
iassist-979	273	10	classes	class	NOUN
iassist-979	273	11	in	in	ADP
iassist-979	273	12	stata	stata	NOUN
iassist-979	273	13	and	and	CCONJ
iassist-979	273	14	r	r	NOUN
iassist-979	273	15	-stata	-stata	PROPN
iassist-979	273	16	-	-	PUNCT
iassist-979	273	17	*	*	PUNCT
iassist-979	273	18	stata	stata	NOUN
iassist-979	273	19	code	code	NOUN
iassist-979	273	20	for	for	ADP
iassist-979	273	21	checking	check	VERB
iassist-979	273	22	k	k	NOUN
iassist-979	273	23	-	-	NOUN
iassist-979	273	24	anonymity	anonymity	NOUN
iassist-979	273	25	*	*	PUNCT
iassist-979	273	26	kristi	kristi	PROPN
iassist-979	273	27	thompson	thompson	PROPN
iassist-979	273	28	,	,	PUNCT
iassist-979	273	29	may	may	AUX
iassist-979	273	30	2020	2020	NUM
iassist-979	273	31	*	*	PUNCT
iassist-979	273	32	create	create	VERB
iassist-979	273	33	the	the	DET
iassist-979	273	34	equivalence	equivalence	NOUN
iassist-979	273	35	groups	group	NOUN
iassist-979	273	36	egen	egen	PROPN
iassist-979	273	37	equivalence_group=	equivalence_group=	PROPN
iassist-979	273	38	group(var1	group(var1	PROPN
iassist-979	273	39	var2	var2	PROPN
iassist-979	273	40	var3	var3	PROPN
iassist-979	273	41	var4	var4	PROPN
iassist-979	273	42	var5	var5	PROPN
iassist-979	273	43	)	)	PUNCT
iassist-979	274	1	*	*	PUNCT
iassist-979	274	2	create	create	VERB
iassist-979	274	3	a	a	DET
iassist-979	274	4	variable	variable	NOUN
iassist-979	274	5	to	to	PART
iassist-979	274	6	count	count	VERB
iassist-979	274	7	cases	case	NOUN
iassist-979	274	8	in	in	ADP
iassist-979	274	9	each	each	DET
iassist-979	274	10	equivalence	equivalence	NOUN
iassist-979	274	11	group	group	NOUN
iassist-979	274	12	sort	sort	NOUN
iassist-979	274	13	equivalence_group	equivalence_group	NOUN
iassist-979	274	14	by	by	ADP
iassist-979	274	15	equivalence_group	equivalence_group	NOUN
iassist-979	274	16	:	:	PUNCT
iassist-979	274	17	gen	gen	PROPN
iassist-979	274	18	equivalence_size	equivalence_size	NOUN
iassist-979	274	19	=	=	PROPN
iassist-979	274	20	_	_	PROPN
iassist-979	274	21	n	n	NOUN
iassist-979	274	22	*	*	NOUN
iassist-979	274	23	list	list	NOUN
iassist-979	274	24	the	the	DET
iassist-979	274	25	i	i	PROPN
iassist-979	274	26	d	d	PROPN
iassist-979	274	27	numbers	number	NOUN
iassist-979	274	28	of	of	ADP
iassist-979	274	29	equivalence	equivalence	NOUN
iassist-979	274	30	groups	group	NOUN
iassist-979	274	31	containing	contain	VERB
iassist-979	274	32	3	3	NUM
iassist-979	274	33	or	or	CCONJ
iassist-979	274	34	fewer	few	ADJ
iassist-979	274	35	cases	case	NOUN
iassist-979	274	36	tab	tab	VERB
iassist-979	274	37	equivalence_group	equivalence_group	NOUN
iassist-979	274	38	if	if	SCONJ
iassist-979	274	39	equivalence_size	equivalence_size	VERB
iassist-979	274	40	<	<	X
iassist-979	274	41	3	3	NUM
iassist-979	274	42	,	,	PUNCT
iassist-979	274	43	sort	sort	NOUN
iassist-979	274	44	*	*	NOUN
iassist-979	274	45	list	list	VERB
iassist-979	274	46	the	the	DET
iassist-979	274	47	values	value	NOUN
iassist-979	274	48	of	of	ADP
iassist-979	274	49	the	the	DET
iassist-979	274	50	quasi	quasi	NOUN
iassist-979	274	51	-	-	NOUN
iassist-979	274	52	identifiers	identifier	NOUN
iassist-979	274	53	for	for	ADP
iassist-979	274	54	each	each	DET
iassist-979	274	55	small	small	ADJ
iassist-979	274	56	equivalence	equivalence	NOUN
iassist-979	274	57	class	class	NOUN
iassist-979	274	58	.	.	PUNCT
iassist-979	275	1	e.g.	e.g.	ADV
iassist-979	275	2	if	if	SCONJ
iassist-979	275	3	1	1	NUM
iassist-979	275	4	list	list	NOUN
iassist-979	275	5	var1	var1	PROPN
iassist-979	275	6	var2	var2	PROPN
iassist-979	275	7	var3	var3	PROPN
iassist-979	275	8	var4	var4	PROPN
iassist-979	275	9	var5	var5	PROPN
iassist-979	275	10	if	if	SCONJ
iassist-979	275	11	equivalence_group	equivalence_group	PROPN
iassist-979	275	12	=	=	NOUN
iassist-979	275	13	=	=	SYM
iassist-979	275	14	num	num	ADJ
iassist-979	275	15	--r	--r	NOUN
iassist-979	275	16	-	-	PUNCT
iassist-979	275	17	#	#	NOUN
iassist-979	275	18	r	r	NOUN
iassist-979	275	19	code	code	NOUN
iassist-979	275	20	for	for	ADP
iassist-979	275	21	checking	check	VERB
iassist-979	275	22	k	k	ADJ
iassist-979	275	23	-	-	NOUN
iassist-979	275	24	anonymity	anonymity	NOUN
iassist-979	275	25	#	#	PROPN
iassist-979	275	26	carolyn	carolyn	PROPN
iassist-979	275	27	sullivan	sullivan	PROPN
iassist-979	275	28	,	,	PUNCT
iassist-979	275	29	may	may	AUX
iassist-979	275	30	2020	2020	NUM
iassist-979	275	31	#	#	NOUN
iassist-979	275	32	install	install	NOUN
iassist-979	275	33	plyr	plyr	NOUN
iassist-979	275	34	,	,	PUNCT
iassist-979	275	35	a	a	DET
iassist-979	275	36	useful	useful	ADJ
iassist-979	275	37	data	data	NOUN
iassist-979	275	38	manipulation	manipulation	NOUN
iassist-979	275	39	package	package	NOUN
iassist-979	275	40	.	.	PUNCT
iassist-979	276	1	install.packages("plyr	install.packages("plyr	NOUN
iassist-979	276	2	"	"	PUNCT
iassist-979	276	3	)	)	PUNCT
iassist-979	276	4	#	#	NOUN
iassist-979	276	5	load	load	VERB
iassist-979	276	6	the	the	DET
iassist-979	276	7	library	library	NOUN
iassist-979	276	8	.	.	PUNCT
iassist-979	277	1	library('plyr	library('plyr	AUX
iassist-979	277	2	'	'	PART
iassist-979	277	3	)	)	PUNCT
iassist-979	277	4	datafile	datafile	VERB
iassist-979	277	5	<	<	NOUN
iassist-979	277	6	"	"	PUNCT
iassist-979	277	7	location	location	NOUN
iassist-979	277	8	of	of	ADP
iassist-979	277	9	the	the	DET
iassist-979	277	10	data	data	NOUN
iassist-979	277	11	file	file	NOUN
iassist-979	277	12	csv	csv	NOUN
iassist-979	277	13	format	format	NOUN
iassist-979	277	14	"	"	PUNCT
iassist-979	277	15	#	#	NOUN
iassist-979	277	16	read	read	VERB
iassist-979	277	17	the	the	DET
iassist-979	277	18	csv	csv	NOUN
iassist-979	277	19	file	file	NOUN
iassist-979	277	20	.	.	PUNCT
iassist-979	278	1	df	df	PROPN
iassist-979	278	2	<	<	X
iassist-979	278	3	read.csv	read.csv	X
iassist-979	278	4	(	(	PUNCT
iassist-979	278	5	datafile	datafile	NOUN
iassist-979	278	6	)	)	PUNCT
iassist-979	278	7	#	#	NOUN
iassist-979	278	8	figure	figure	NOUN
iassist-979	278	9	out	out	ADP
iassist-979	278	10	what	what	DET
iassist-979	278	11	equivalence	equivalence	NOUN
iassist-979	278	12	classes	class	NOUN
iassist-979	278	13	there	there	PRON
iassist-979	278	14	are	be	VERB
iassist-979	278	15	,	,	PUNCT
iassist-979	278	16	and	and	CCONJ
iassist-979	278	17	how	how	SCONJ
iassist-979	278	18	many	many	ADJ
iassist-979	278	19	cases	case	NOUN
iassist-979	278	20	in	in	ADP
iassist-979	278	21	each	each	DET
iassist-979	278	22	equivalence	equivalence	NOUN
iassist-979	278	23	class	class	NOUN
iassist-979	278	24	.	.	PUNCT
iassist-979	279	1	dfunique	dfunique	PROPN
iassist-979	279	2	<	<	X
iassist-979	279	3	ddply(df	ddply(df	PROPN
iassist-979	279	4	,	,	PUNCT
iassist-979	279	5	.(var1	.(var1	PROPN
iassist-979	279	6	,	,	PUNCT
iassist-979	279	7	var2	var2	PROPN
iassist-979	279	8	,	,	PUNCT
iassist-979	279	9	var3	var3	PROPN
iassist-979	279	10	,	,	PUNCT
iassist-979	279	11	var4	var4	PROPN
iassist-979	279	12	,	,	PUNCT
iassist-979	279	13	var5	var5	PROPN
iassist-979	279	14	)	)	PUNCT
iassist-979	279	15	,	,	PUNCT
iassist-979	279	16	nrow	nrow	VERB
iassist-979	279	17	)	)	PUNCT
iassist-979	279	18	dfunique	dfunique	ADJ
iassist-979	279	19	<	<	X
iassist-979	279	20	dfunique[order(dfunique$v1	dfunique[order(dfunique$v1	ADJ
iassist-979	279	21	)	)	PUNCT
iassist-979	279	22	,	,	PUNCT
iassist-979	279	23	]	]	PUNCT
iassist-979	279	24	view(dfunique	view(dfunique	PROPN
iassist-979	279	25	)	)	PUNCT
iassist-979	280	1	https://doi.org/10.29173/iq979	https://doi.org/10.29173/iq979	PROPN